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42 results about "Estimation" patented technology
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In project management (e.g., for engineering), accurate estimates are the basis of sound project planning.
Degradation data-based product reliability assessment method and a parameter estimation method
ActiveCN109657937AAccurate solutionMake up for restrictiveDesign optimisation/simulationResourcesAlgorithmData modeling
The invention belongs to the technical field of engineering design and data modeling, and discloses a degradation data-based product reliability assessment method and a parameter estimation method. The method comprises the following steps of stablishing a Wiener accelerated degradation model based on a random effect, wherein the drift parameter is a random variable obeying normal distribution; Constructing a residual life prediction model according to the accelerated degradation model, and deducing residual life distribution and a reliability function of the residual life; And according to theperformance degradation data in the stress state, through a two-step maximum likelihood estimation method, obtaining an unknown parameter estimation value of the model. According to the method, a newaccelerated degradation model and a new residual life prediction model are constructed through a classic Wiener model, and an estimated value of the residual life is obtained; According to the method, a two-step maximum likelihood estimation method is adopted, unknown parameters in the degradation model are estimated, restrictions of a traditional maximum likelihood estimation method are made up,optimal values of the unknown parameters can be obtained more accurately, the model can predict the remaining life of a product more accurately, and the application range is wide.
Owner:XIDIAN UNIV
Project assessment system and method
A computer readable storage medium encoded with a project assessment program for assessing a project including a plurality of processes when executed by a computer computing forecasts of the project based on a set of information. At least one scheme by a user input is selected from a group of schemes including an estimation of mutual-correlation of estimated value pattern. Process planning information, up-to-date actual process information and forecast model information of each process included in the project is retrieved. The forecast model information of each process of the project is defined as probability distribution variations of a plurality of parameters of the processes, wherein the probability distribution variations are quantitative values of the project. Estimated values of variations in at least two parameters of the processes using the process planning information, the up-to-date actual process information and the forecast model information are computed.
Owner:HITACHI LTD +1
Project schedule tracking adjustment method and system based on PERT
ActiveCN106651309ARealize reasonable formulationAchieving Scientific EstimatesOffice automationMinimum timeProgram planning
The invention discloses a project schedule tracking adjustment method and a system based on a PERT. With the planned project duration complying with beta distribution as a basis, a scale principle estimated to be followed by time parameters is demonstrated, a method of replacing the most optimistic time by the minimum time for resource allocation consideration is brought forward, and an estimation basis for time parameters is cleared; a fitting method is adopted to solve the beta distribution corresponding to the time parameters; and finally, a cost-projection duration linear model is further built, according to the beta distribution probability constraints and given project duration float requirements, a schedule plan is solved, and more reasonable schedule plan making is realized. Problems that schedule plan deviation is likely to happen as the time parameter estimation scale is inaccurately mastered and project resource constraints are not considered in the network PERT can be solved, and the method and the system are applicable to scheme plan making and tracking adjustment for a large construction project.
Owner:STATE GRID SHANDONG ELECTRIC POWER
Industrial lot estimation method based on big data and intelligent decision-making mechanism
InactiveCN108876487AAchieve dimensionality reductionAchieve simplificationProduct appraisalEstimation methodsData science
The present invention discloses an industrial lot estimation method based on big data and an intelligent decision-making mechanism. The method comprises the following steps of: the step 1, confirmingfactors influencing land prices; the step 2, performing collection, conversion, quantification and storage of factor data; and the step 3, constructing a model to perform iteration and operation, wherein in the step 1, the factors influencing land prices are confirmed, the factors comprise five classes consisting of an area factor, a traffic factor, a surrounding facility factor, a policy factor and a historical deal condition, in the step 3, the model being configured to perform iteration and operation comprises establishing a feature engineering, establishing a model and employing an XGBoostalgorithm to analyze the land prices. Through combination of the newest big data and an intelligent estimation algorithm to perform estimation of the land prices and obtain a good effect.
Owner:盈盈(杭州)网络技术有限公司
Crowdsourcing quality assessment method based on slide task window
InactiveCN107871196AAccurate assessmentThe initial value setting is reasonableResourcesTask completionSlide window
The invention discloses a crowdsourcing quality assessment method based on a slide task window. Along with development of Internet, crowdsourcing is widely applied in fields of commerce, scientific research and the like, but the crowdsourcing faces a severe challenge of uneven completion quality of tasks. In the invention, aiming at a quality assessment problem of the crowdsourcing, through introducing a professional accuracy concept, a worker is assessed so that the crowdsourcing quality assessment method based on the slide task window is realized. The method is characterized by firstly, combining an idea of a gold standard data method and testing the worker; then, referring a principle of a slide window, carrying out slide window splitting on a crowdsourcing task, wherein all the workersvote independently for all tasks; and then, improving an EM algorithm and estimating a task result in each task window; and finally, integrating estimation results so as to carry out high-efficient,accurate, real-time and dynamical assessment on crowdsourcing task quality.
Owner:ZHENGZHOU UNIV
Development area distribution network planning method and system
The invention provides a development area distribution network planning method and system. The method comprises the following steps of: (1) status analysis: finding out weak links of administrative village distribution networks through arranging and analyzing data of the administrative village distribution networks; (2) a load prediction method; (3) an administrative village distribution network transformation and construction scheme: forming a uniform village distribution network transformation and construction scheme from the idea of overall planning to solve the existing problems in the administrative villages; and (4) investment estimation: carrying out project investment estimation on each single project in a project library according to investment estimation control unit price conditions. According to the method and system, administrative villages are taken as units to form a plan that one village has one scheme about distribution network, the problem solution scheme is integrally considered from the global angles of transformer substation, 10kV circuit, distribution transform platform and low-voltage circuit, and different from the existing single-point problem solution scheme, the scheme is capable of effectively avoiding the problems of mass-demolishing mass-construction and repeated construction, and enhancing the economic benefits of power grids on the basis of problem solution.
Owner:TIANDAQIUSHI ELECTRIC POWER HIGH TECH CO LTD
Rapid building cost estimation method and system
PendingCN111950920AComputational Results ScienceCalculations are reasonableMarket predictionsOffice automationData matchingEstimation methods
The invention discloses a rapid building cost estimation method and system, and relates to the technical field of building cost. The method comprises the steps that a standard project sample library is sorted out by collecting historical cost sample data, similar projects are retrieved in the standard project sample library by inputting characteristic indexes of projects to be calculated, the final estimated price is calculated by correcting project cost data, the estimated price is output, and an estimation report is generated. The system comprises a data import module, a data arrangement module, a data input module, a data matching module, a data correction module and a data output module. According to the method, machine learning and construction project big data are utilized, during construction cost estimation, the scientific estimation process is given without depending on experience of engineers, the calculation result is more reasonable, scientific and stable, and good interpretability is achieved.
Owner:武汉华莱士工程造价咨询管理有限公司
Returns-Timing for Multiple Market Factor Risk Models
Until recently, risk models have been built using low frequency data, such as weekly or monthly data. This approach has resulted in a necessary compromise between model stability for which one needs a long history of data, and model responsiveness, for which, the shorter the history, the better. Stability plus responsiveness can be achieved if one uses daily data, which allows for a large number of observations to be used in model estimation without using long out-of-date data. Daily data have other problems, however, as the differing closing times of markets worldwide may induce spurious relationships across model factors. In particular, correlations between markets may appear lower than they truly are due to a market lag To address such issues, a stable, daily data-based factor risk model is described which takes account of the differing market closing times and corrects the model factor correlations and specific returns accordingly.
Owner:AXIOMA
Historical famous city new urban planning aided design system
InactiveCN110909951AEnsure safetyProtect intellectual propertyForecastingDigital data protectionSuitability analysisOperations research
The invention discloses a historical famous city new urban planning aided design system. The historical famous city new urban planning aided design system comprises a server and a user terminal, wherein the server establishes connection with a related department server to obtain city factor data based on user requirements and package a data processing method for multiple kinds of city factor dataand a related analysis method for population change monitoring in advance; the historical famous city new urban planning aided design system receives the requirements of a user for the to-be-studied area and data, obtains related city factor data, and obtains a corresponding data processing method for processing; the historical famous city new urban planning aided design system matches the city factor data according to the spatial position parameters; and the historical famous city new urban planning aided design system carries out new urban area site selection according to development suitability analysis and the estimated area, carries out environmental population capacity estimation on a new urban area, and then estimates new urban area development intensity on the basis of the environmental population capacity of the new urban area, so as to determine a new urban area development scheme accordingly, and visualize data obtained in the analysis process. According to the historical famous city new urban planning aided design system, the early-stage data preparation and preprocessing workload of the project can be reduced.
Owner:QINGDAO TECHNOLOGICAL UNIVERSITY
Urban village recognition and population estimation method and system based on deep learning and computer readable storage medium
PendingCN112215059ASolve problems that are more difficult to estimateImprove recognition accuracyImage analysisCharacter and pattern recognitionAlgorithmRoad networks
The invention provides a village-in-city identification and population estimation method based on deep learning and a system-level computer readable storage medium, the method comprises a village-in-city identification stage and a village-in-city population estimation stage, the village-in-city identification stage comprises the following steps: extracting an urban road network map, extracting a road network contour on the road network map by using an opencv python packet, cutting out image blocks on the remote sensing satellite image; carrying out urban village labeling on the cut image blocks, selecting samples to form a training sample set, and carrying out training and prediction by using a Mask-RCNN model to obtain an urban village distribution map on the urban remote sensing satellite image; in the village-in-city population estimation stage, each village-in-city remote sensing satellite image is cut from a village-in-city distribution map on the urban remote sensing satellite image, and house capacity characteristics, crowd movement characteristics and regional function characteristics are obtained through calculation. And the urban village population quantity is trained andpredicted by taking the three as input and utilizing a residual network model. The method provided by the invention has the advantages of high efficiency and low consumption, and achieves higher recognition and estimation accuracy.
Owner:XIAMEN UNIV
Project cost management system based on big data
The invention discloses a project cost management system based on big data. The system comprises a personnel numbering module, a data statistics module, a data analysis module, a region division module, a soil specific gravity detection module, a soil specific gravity analysis module, a compactness detection module, a compactness analysis module, an analysis server, a project cost management center, a display terminal and a storage database. According to the method, the engineering construction difficulty evaluation coefficient estimated by each engineering cost person is counted, the averageengineering construction difficulty evaluation coefficient estimated by each engineering cost person is calculated, the soil texture proportion of each foundation subarea in a to-be-constructed building is detected, the soil texture type of the to-be-constructed building area is analyzed, comparison is conducted to obtain a soil compactness comparison difference value of each foundation subarea, an engineering construction difficulty evaluation coefficient estimated by the system is calculated, and a comprehensive engineering construction difficulty influence coefficient of the to-be-constructed building is calculated according to the weight ratio, thereby improving the estimation accuracy and reasonability of the construction engineering cost.
Owner:南京佳苏电子商务有限公司
Surface PM2.5 concentration estimation method based on gradient boosting decision-making tree
ActiveCN112069673ADesign optimisation/simulationParticle suspension analysisAlgorithmGradient boosting decision tree
The invention relates to a PM2.5 concentration estimation method, in particular to the surface PM2.5 concentration estimation method based on a gradient boosting decision-making tree. The invention aims at solving the problems that the estimation is limited by space and time non-stationarity, and the sample size when PM2.5 concentration is estimated or predicted through chemical, physical and statistical models. The method comprises the following steps: 1, preprocessing PM2.5 concentration data observed on the ground to obtain average PM2.5 observation concentration data of each station; and 2, processing the remote sensing AOD product data to obtain AOD data with better control quality and expand the space coverage rate of the AOD data. And 3, preprocessing and unifying the meteorologicaldata and the auxiliary data. And 4, integrating the data to ensure that all the data are consistent in space and time. And 5, performing exploratory analysis on the data, so that the problem of colinearity among multiple variables can be eliminated. And 6, constructing a PM2.5 concentration estimation model by using a gradient boosting decision tree method. The invention is suitable for estimating large-range surface PM2.5 concentration spatial distribution from remote sensing AOD data.
Owner:HENAN UNIVERSITY
Working method of financial budget system for quantitative analysis
The invention relates to a working method of a financial budget system for quantitative analysis. The working method is characterized by comprising the following steps: classifying appropriation projects; obtaining a historical record of budget appropriation in each category of classification items; according to each historical record, obtaining a corresponding appropriation quota and an actual project money consumption quota; establishing a coordinate system of the relationship between the actual money consumption quota and the appropriation quota; marking each historical record value of thebudget appropriation in the coordinate system, and recording the historical record values as actual positions; performing centralized region division in the coordinate system; amplifying or reducing the positions of all historical record values in the centralized area to the corresponding positions when the budget appropriation quotas are equal according to the proportion, and recording the positions as judgment positions; judging whether the budget appropriation quota is excessive or insufficient according to the judgment position; obtaining the classification of a current appropriation project and a budget appropriation estimated value; obtaining a centralized area where the budget appropriation estimation value is located in the coordinate system; and performing budget appropriation matching according to the excessive or insufficient condition of budget appropriation in each centralized area.
Owner:太仓锐博商务咨询有限公司
Equipment residual life prediction method under sequential Bayesian framework
PendingCN112765813AOvercome difficultiesImproving Remaining Life Prediction AccuracyDesign optimisation/simulationSpecial data processing applicationsEstimation methodsHyperparameter
The invention discloses an equipment residual life prediction method under a sequential Bayesian framework, and the method comprises the steps: firstly constructing a degradation model of degraded equipment in a project through employing a Wiener process with a random drift coefficient; then, performing off-line estimation on hyper-parameters and diffusion coefficients in drift coefficients in the degradation model by using a maximum likelihood estimation method based on historical degradation data of similar equipment; on the basis of degradation data monitored in real time, achieving on-line recursion of a drift coefficient hyper-parameter under a sequential Bayesian framework; and finally, deriving an analytical expression of the residual life probability density function under the concept of the first arrival time. Different from existing research based on a Bayesian method, the sequential Bayesian method mainly takes a parameter updating result at a previous moment as prior distribution at a next moment. Therefore, the invention can make full use of the information contained in all the degradation data of the specific equipment up to the current moment, and overcomes the problem that a traditional Bayesian method only depends on the degradation data of the current moment.
Owner:ROCKET FORCE UNIV OF ENG
Non-stationary dynamic process anomaly monitoring method based on dynamic stationary subspace analysis
PendingCN112069457AImprove monitoring effectComplex mathematical operationsTotal factory controlHat matrixMahalanobis distance
The invention discloses a non-stationary dynamic process anomaly monitoring method based on dynamic stationary subspace analysis, and particularly relates to the field of industrial process anomaly monitoring. On the basis of a stationary subspace analysis method, the dynamic relationship of process data is modeled by introducing a time shifting technology, and the dynamic stationary subspace analysis method suitable for monitoring a non-stationary dynamic process is provided. An estimation problem of a stable projection matrix is described as an optimization problem, and the problem is solvedby using an alternating method multiplier method. A Mahalanobis distance is used as monitoring statistics to monitor stable components of augmented data. The dynamic characteristics of the process data can be effectively modeled, so that the monitoring performance of the non-stationary dynamic process is improved. Compared with a method based on co-integration analysis, the method can be suitablefor the condition that the co-integration orders of non-stationary variables are unequal or larger than one, and therefore the method has a wider application range.
Owner:SHANDONG UNIV OF SCI & TECH
Power demand prediction framework considering multiple dimensions and multiple factors
PendingCN113642778AReasonable frameworkLogicalForecastingTechnology managementNerve networkMacroscopic scale
The invention discloses a power demand prediction framework considering multiple dimensions and multiple factors. According to the framework, the invention includes analyzing and determining macroscopic, mesoscopic, industrial and special event impact factors influencing power demand increase; performing factor analysis based on ADF, regression analysis and other methods, and determining dimensions and factor types influencing power demand prediction; performing medium and long term power demand data prediction through a GRE model and a GMM generalized moment estimation model; and finally, checking the predicted data according to the night light big data and a neural network algorithm so as to judge the economic and power consumption trend of the regional population, each prefecture-level city and industry development. According to the invention, a complete, specific and scientific electric power prediction framework considering multiple dimensions and multiple factors is effectively constructed, and a good system framework theory and practical operation method is provided for improving the electric power prediction precision.
Owner:RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER
Methods and systems for assessing project management offices
ActiveUS8280897B2Easy to understandDigital data processing detailsOffice automationProject managementGood practice
Owner:ACCENTURE GLOBAL SERVICES LTD
Cost control method for power grid technical improvement project
PendingCN111950876AQuick fixAccurately determineMarket predictionsOffice automationProject completionPower grid
The invention relates to a cost control method for a power grid technical improvement project. The method comprises the steps of screening estimation stage and settlement stage data corresponding to different professional projects from historical technical improvement project data after project completion settlement approval is completed; calculating to obtain balance data and balance change ratescorresponding to different professional projects, contribution levels of subitem expenses corresponding to different professional projects to the balance change rates, and balance data and balance change rates corresponding to the subitem expenses in different professional projects; then determining professional engineering with the balance change rate exceeding a balance threshold value and sub-item cost with the contribution level of the professional engineering to the balance change rate exceeding a contribution threshold value; and carrying out valuation control on the investment amount of the technical improvement project in corresponding professional engineering and sub-item expenses. Compared with the prior art, the invention has the advantages that the estimation stage data and the settlement stage data in the historical project data are compared and calculated, so that the subsequent targeted cost control can be ensured, and the difference between the investment and the actual cost is reduced.
Owner:SHANGHAI MUNICIPAL ELECTRIC POWER CO
Project cost determination method and device, electronic equipment and storage medium
InactiveCN114187047AImprove cost calculation efficiencyLess investmentNeural architecturesNeural learning methodsProject environmentIndustrial engineering
The invention provides a project cost determination method and device, electronic equipment and a storage medium, and belongs to the technical field of engineering projects. The method comprises the steps that project information of each sample project is acquired, and the project information comprises project construction information, project environment information and project cost of the sample project; determining a plurality of sample features included in the project construction information and the project environment information; according to the influence degree of the sample features on the expenses consumed by the sample items, distributing a corresponding feature weight for each sample feature; and training an initial estimation model according to the sample features, the feature weights corresponding to the sample features and the project cost to obtain a target estimation model, and determining the project cost of a target project through the target estimation model. The method does not need a manual mode, improves the project cost calculation efficiency, and reduces the project investment.
Owner:苏州方兴信息技术有限公司
Urban characteristic block population density estimation method and system based on spatial big data
InactiveCN112818747AReduce administrative workHigh precisionData processing applicationsScene recognitionUrban densityEngineering
The invention belongs to the technical field of population density estimation, and discloses an urban characteristic block population density estimation method and system based on spatial big data. The urban characteristic block population density estimation system based on the spatial big data comprises a remote sensing image acquisition module, a population information acquisition module, a main control module, an image recognition module, a population statistics module, a population density calculation module, a simulation module, a cloud storage module and a display module. According to the invention, through the population information acquisition module, the staff management work required for floating population information acquisition by a floating population management department is saved, and no special population information acquisition equipment needs to be purchased, so the cost is saved; meanwhile, the population density condition of the prefecture-level city-level cities can be effectively simulated through the simulation module, manual statistics is replaced with an automatic means, and a large amount of manpower and material resources can be saved.
Owner:SHANGHAI INST OF TECH
Project multi-objective combination optimization method and system
PendingCN113689118AImprove the level of precise investmentPortfolio selection and investment are reasonableForecastingResourcesEntropy weight methodComputational model
The invention provides a project multi-objective combination optimization method and system. The method comprises the following steps: establishing a power grid project comprehensive evaluation index system which comprises comprehensive evaluation indexes in four aspects of safety, reliability, economy and coordination; calculating the subjective weight of each comprehensive evaluation index by using a subjective weight calculation model of a set value iteration method; calculating the objective weight of each comprehensive evaluation index by using an objective weight calculation model of an entropy weight method; utilizing an optimal combination weight calculation model of a moment estimation theory, and integrating the subjective weight and the objective weight to form an optimal combination weight of the evaluation index; and in combination with the comprehensive evaluation index system and the optimal combination weight, performing combination optimization by using a dynamic population evolution algorithm. According to the method, the optimal project combination is solved by applying a dynamic population evolution algorithm.
Owner:STATE GRID CORP OF CHINA +4
Method and system for estimating population density in urban built-up areas based on spatial big data collaboration
ActiveCN108871286BHigh precisionEasy to understandPicture taking arrangementsSatellite radio beaconingRegression analysisClassification methods
The invention relates to a method and system for estimating the population density of urban built-up areas with spatial big data collaboration. The topological algorithm is used to divide the urban blocks, and combined with the spatial big data of the points of interest to distinguish the urban blocks into residential areas and non-residential areas; using remote sensing optical stereoscopic imaging data to obtain building heights; according to building heights and building ranges combined with demographic data, Construct a population density estimation model by multiple regression analysis; use the scope of the building and the height of the building as input variables, input it into the population density estimation model, calculate the population density, and then use the spatial statistical analysis method to distribute it to the regular grid space corresponding to the urban built-up area. The method and system can accurately and accurately estimate the population density of urban built-up areas, are more suitable for urban planning, disaster prevention and reduction, and business decision-making for fine population data, and are conducive to further promotion and application.
Owner:INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
Workload estimation method for nuclear power design research and development
PendingCN113191624AAccurate focusSolve the lack of computing powerOffice automationResourcesData setEstimation methods
The invention discloses a workload estimation method for nuclear power design research and development. The workload estimation method comprises the following steps: S1, obtaining a word library file related to nuclear power design research and development; s2, preprocessing the word material library file, establishing a word model vector conversion model, and training the word model vector conversion model; s3, exporting plan data of design and research and development, processing the plan data to form sample data, and performing data set segmentation on the sample data; s4, selecting an algorithm to train the processed sample data, and a pre-estimation model is established and optimized; and S5, performing evaluation through the pre-estimation model. According to the invention, each specific work can be evaluated accurately according to the working gravity center of different years, the working difference of different professions and the working characteristics of different types. The problem of insufficient computing power is solved, a traditional top-to-bottom estimation mode is avoided, and microscopic work can be focused more accurately.
Owner:SHANGHAI NUCLEAR ENG RES & DESIGN INST CO LTD
Traffic mode selection analysis method based on incomplete population information
ActiveCN110941651AStrong ability to deal with uncertain problemsGood estimateData processing applicationsDigital data information retrievalMissing dataEngineering
The invention discloses a traffic mode selection analysis method based on incomplete population information. Joint distribution of population attribute characteristics is established through a Bayesian network model; aiming at the problems that population survey data is partially incomplete and missing exists, posteriori distribution of other missing attributes is inferred through partial population attribute data in traffic mode selection modeling, so that a traffic selection model established under the condition of incomplete population data can obtain a good interpretation result. Accordingto the method, when the population attribute data is insufficient or missing, the Bayesian network is used for carrying out joint modeling on the plurality of population attribute features to obtainthe probability distribution of missing data, so that the traffic mode selection model obtains better estimation and interpretation results.
Owner:SOUTHEAST UNIV
Multi-model fusion-based population distribution estimation method and device, and storage medium
ActiveCN113554356APopulation distribution estimates work wellResourcesNeural architecturesEstimation methodsFeature coding
The invention discloses a multi-model fusion-based population distribution estimation method and device, and a storage medium. The method comprises the following steps of dividing a population distribution estimation region into a plurality of geographic units; obtaining a population distribution influence factor of each geographic unit; generating a first-order adjacency matrix based on the adjacency relation between the geographic units, and generating the multi-source spatial representation data of each geographic unit according to the population distribution influence factor of each geographic unit and the first-order adjacency matrix of each geographic unit; respectively taking the multi-source spatial representation data of each geographic unit and the population distribution influence factor as the input of a preset population distribution estimation model, and respectively outputting a population estimation value of each geographic unit by the population distribution estimation model, wherein the population distribution estimation model comprises a space matrix feature coding model, a global attribute feature coding model, a data fusion model and a classifier model. According to the method, the spatial information and the attribute information are considered, and a very good population distribution estimation effect can be obtained.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)
An Analysis Method of Traffic Mode Choice Based on Incomplete Population Information
ActiveCN110941651BStrong ability to deal with uncertain problemsGood estimateData processing applicationsDigital data information retrievalMissing dataEngineering
The invention discloses a traffic mode selection analysis method based on incomplete population information. Joint distribution of population attribute characteristics is established through a Bayesian network model; aiming at the problems that population survey data is partially incomplete and missing exists, posteriori distribution of other missing attributes is inferred through partial population attribute data in traffic mode selection modeling, so that a traffic selection model established under the condition of incomplete population data can obtain a good interpretation result. Accordingto the method, when the population attribute data is insufficient or missing, the Bayesian network is used for carrying out joint modeling on the plurality of population attribute features to obtainthe probability distribution of missing data, so that the traffic mode selection model obtains better estimation and interpretation results.
Owner:SOUTHEAST UNIV
Remote sensing data and social survey combined regional economic development estimation method and system
PendingCN112200619AEnsure objectivityGuaranteed reliabilityMarket data gatheringSensing dataEngineering
The invention discloses a remote sensing data and social survey combined regional economic development estimation method and system. The system comprises a data reading module, an image preprocessingmodule, a classification module, a sensitive factor selection module, a model construction module and a precision evaluation module. The method comprises the following steps: S1, selecting a researcharea, and obtaining a satellite remote sensing image and social survey data of a corresponding year; s2, operating the obtained satellite remote sensing image to obtain a satellite remote sensing image covering the whole research area; s3, classifying the land utilization types of the research area; s4, selecting a sensitive factor; s5, constructing a regional economic development estimation model; and S6, carrying out precision evaluation on the regional economic development estimation model. The method and system provide a new idea for regional economic development prediction and economic data correction, provide a new approach for observing economic activities and influences thereof for human beings, and have the advantages of simple process, easy operation, strong objectivity and the like.
Owner:ZHEJIANG OCEAN UNIV
Method for determining product reference factor data and related device
PendingCN114741644AHigh speedImprove accuracyFinanceManufacturing computing systemsFinancial transactionData mining
The invention discloses a method and related device for determining product reference factor data, and the method comprises the steps: obtaining a known quantity for calculating target index data through the basic information and transaction information of a target product; substituting the known quantity into a calculation function of the target index data to obtain a first estimation value of the target index data; when the output value of the first estimation value substituted into the calculation function does not meet the preset accuracy, obtaining a second estimation value of the target index data through the first estimation value, a Newton iteration method formula and a limit derivation formula until the output value of the second estimation value substituted into the calculation function meets the preset accuracy; the limit derivation formula is used for solving the derivative of the calculation function in the first estimation value; and taking the second estimated value conforming to the preset accuracy as reference factor data of the target product. According to the mode, the speed and the accuracy of numerical value estimation of the index data are improved, so that the speed and the accuracy of determining the reference factor data of the target product are improved.
Owner:AGRICULTURAL BANK OF CHINA
A Method of Estimated Projects Based on Items
ActiveCN107301527BQuick calculationAccurate calculationDigital data information retrievalOffice automationProduction drawingProject management
Owner:KUNMING UNIV OF SCI & TECH
Principal component analysis method and Q clustering analysis-based valuation model for enterprise to be listed on Sci-Tech innovation board
InactiveCN111402041AValuation Level ForecastFinanceCharacter and pattern recognitionAnalytic modelPrincipal component analysis
The invention discloses a principal component analysis method and Q clustering analysis-based valuation model for an enterprise to be listed on the Sci-Tech innovation board. Reasonable hypothesis andsymbol description are provided for problem modeling; the market sales rates of the Chinese stock market A and the American NASDAQ market in 2018 are selected as evaluation standards, and the marketsales rates of the stock markets of two countries are compared and analyzed by using a weighted average method. An estimated value premium or discount level of the two markets is obtained. The obtained data is standardized, a principal component analysis model is established. The difference between the Chinese stock A and the American NASDAQ market is determined through comparison. The predicted values of various indexes are obtained by using an MATLAB program. An estimation index relational expression is obtained, and an estimation index is solved by using an undetermined coefficient method.According to the method, the estimated value levels of the first batch of enterprises listed on the Sci-Tech innovation board in China after is predicted.
Owner:CHANGZHOU INST OF TECH
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