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53 results about "Regression result" patented technology

The primary result of a regression analysis is a set of estimates of the regression coefficients α, β 1 ,..., β k. These estimates are made by finding values for the coefficients that make the average residual 0, and the standard deviation of the residual term as small as possible.

Automatic regression testing method

InactiveCN103823747AImprove the efficiency of the verification processImprove efficiencySoftware testing/debuggingRegression testingHome page
The invention discloses an automatic regression testing method. The automatic regression testing method includes a first step, performing regression starting and running, in other words, respectively managing regression tests on different kinds of test vectors in a classified and graded manner according to specific conditions of projects, respectively selectively performing the module-level, subsystem-level or system-level regression tests for different stages of hierarchical verification and generating conventional information files and error information files; a second step, performing regression information post-processing, in other words, statistically analyzing each grade of regression test results, generating project regression home pages, generating module or regression classification branch pages and generating detailed regression result branch pages of each module. The project regression home pages contain project information, regression versions and coverage rates. The module or regression classification branch pages contain module classification type lists and pass or fail test case summaries. The detailed regression result branch pages of each module contain each test case name, simulation running time, random frequencies, case passing information, fail type statistics and simulation result conventional information file indexes. The automatic regression testing method has the advantage that the design verification process efficiency and the verification completeness can be improved by the aid of the automatic regression testing method.
Owner:SHANGHAI HUAHONG INTEGRATED CIRCUIT

A human posture regression method and system based on point cloud semantic enhancement

A method and system for human posture regression based on semantic enhancement of point cloud is provided in that embodiment of the present invention. The method comprises steps extracting the point cloud features of the hand point cloud data, and classifying them point by point, obtaining semantic segmentation information of hand point cloud data, Hand-point cloud data being semantically enhancebased on semantic segmentation information, based on the hand point cloud data after semantic enhancement, and geometrically transforming the hand posture prediction result, so that that regression result of the hand posture are obtained. The method of geometric transformation of input data and output data by network learning makes the method of human pose estimation more robust to the geometric transformation of input data. The semantic information of input point cloud classification sub-network and attitude regression sub-network are fused effectively, and the performance of human pose estimation is further improved.
Owner:TSINGHUA UNIV

Novel harmonic emission level assessment method

The invention discloses a novel harmonic emission level assessment method. Harmonic equivalent circuits of a system and a user at a point of common coupling (PCC) are analyzed to obtain a relational expression between the harmonic impedance of the system and the user and the voltage and current at the PCC; a certain mathematical operation is conducted on voltage signals and current signals, wherein the voltage signals and the current signals are collected at the PCC; h subharmonic voltage signals and current signals are extracted; on the basis of data envelopment analysis of the signals, partial least square regression molding is conducted to obtain the estimated result of the harmonic impedance; lastly, the regression result is utilized for assessing the harmonic emission level of the user. According to the novel harmonic emission level assessment method, the data envelopment analysis is adopted for optimizing harmonic voltage and current values obtained through measurement at the PCC, invalid data caused by system operation fluctuation or a measuring instrument are eliminated, the defect that partial least square regression obtains a wrong model according to wrong data is overcome, the accuracy of the estimated result is greatly improved, and a basis is provided for duty allocation between the system and the user with respect to the power quality contamination status.
Owner:CHONGQING UNIV +1

Method for reconstructing interval transit time curve by virtue of multiple logging curves

The invention relates to a method for reconstructing an interval transit time curve by virtue of multiple logging curves. The method mainly comprises the steps of selecting a plurality of logging curves obvious in response to reservoir characteristics by performing reservoir sensitivity and correlation analysis on the logging curves; performing discrete wavelet decomposition on the logging curves together with a sonic wave curve to form 8 decomposition layers; enabling all the layers of high-frequency decomposition results of other logging curves except the sonic curve to form matrices respectively, obtaining the corresponding characteristic values and characteristic vectors of the matrices; taking the characteristic vectors corresponding to different characteristic values as new components, which, at the moment, have orthogonality (correlation ); performing multivariate regression analysis on the high-frequency components of the corresponding layer of wavelet decomposition of the sonic curve by utilizing characteristic vectors of each layer, calculating a weighting coefficient corresponding to each vector, returning a regression significance analysis result and determining the quality of regression; next, determining the number of layers of the sonic high-frequency components to be reconstructed by virtue of the characteristic vectors according to the regression significance analysis result, selecting multiple regression results as the high-frequency components for a part having more layers than selected layers, and remaining the high-frequency decomposition results of the sonic logging curves for a part having less layers than the selected layer, and then carrying out curve reconstruction by using the low-frequency components of the sonic logging curves and the high-frequency components obtained through regression so as to obtain a final sonic reconstructed curve.
Owner:BEIJING NORMAL UNIVERSITY

Electric transmission line insulator burst identification method based on deep learning

The invention discloses an electric transmission line insulator burst identification method based on deep learning. The method comprises the following steps that: firstly, collecting an electric transmission line insulator picture by an unmanned aerial vehicle; then, carrying out target detection on the electric transmission line insulator picture collected by the unmanned aerial vehicle so as toaccurately carry out regression to obtain the position of an insulator string in an original picture, and clipping an independent insulator string according to a position regression result; then, adopting a deep learning full-conventional neural network method to carry out semantic segmentation on the insulator string, and segmenting the insulator string from a background; and finally, extractingthe center of mass of the single insulator, solving a distance between the centers of mass of adjacent insulators, setting 1.5 times of average distance as a threshold value, considering that burst isin the presence in two insulators if the distance between two insulators is greater than the threshold value, and labeling an insulator burst position. By use of the method, a subjective influence brought by manually setting the threshold value and selecting the parameter in a traditional insulation extraction process is avoided, and identification accuracy is improved.
Owner:STATE GRID CORP OF CHINA +1

Performance continuous integration data processing method and device

The invention provides a performance continuous integration data processing method and device. The method includes acquiring a performance continuous integration test result document stored in a disk, wherein the performance continuous integration test result document comprises a plurality of performance continuous integration test records; reading the plurality of performance continuous integration test records into a memory one by one; analyzing the performance continuous integration test records in the memory to obtain corresponding middle performance index data; deleting the analyzed performance continuous integration test records in the memory; judging whether analyzing of the plurality of performance continuous integration test records in the performance continuous integration test result document is completed; if analyzing of the plurality of performance continuous integration test records in the performance continuous integration test result document is completed, acquiring final performance index data and deleting the performance continuous integration test result document in the disk; storing the final performance index data to the memory and the disk. According to the performance continuous integration data processing method and device, space usage of the disk can be reduced, and analyzing and reading efficiency of regression result data is improved.
Owner:ALIBABA GRP HLDG LTD

Method for quantitative analysis of impact on road travel time from urban built environment

The invention belongs to the technical field of urban traffic planning and traffic big data research, and provides a method for the quantitative analysis of impact on road travel time from an urban built environment. The method comprises the steps: extracting the mean speed of all small road segments and the attribute information of the built environment according to the GPS data of taxies on a road and the geographic information data; secondly taking the mean speed of all small road segments as a dependent variable, taking the attribute of the built environment as a key independent variable, taking a nearest intersection type virtual variable as an adjustment variable, giving consideration to the mutual of the key independent variable and the dependent variable and carrying out the regression analysis, and selecting the key independent variable, which obviously affects the mean speed of the road segments, from the regression result; finally substituting the extracted key independent variable into a geographic weighted regression model, and carrying out the quantitative analysis. The beneficial effects of the invention are that the method is used for adjusting the attributes of the urban built environment for a traffic planning and management department, and improves the operation efficiency of a road network, and provides a decision-making basis.
Owner:DALIAN UNIV OF TECH

Noninvasive prenatal biological information detection and analysis method

The invention relates to the field of medical detection and particularly discloses a noninvasive prenatal biological information detection and analysis method. For improving the accuracy of analyzing different quantities of to-be-detected samples, different detection and analysis methods are selected according to the different quantities of the to-be-detected samples, and different analysis policies are adopted for parameters obtained by the to-be-detected samples and parameters obtained by a normal reference set, so that the accuracy of analysis is improved to a greater extent. According to the method, the problem of inaccurate regression result caused by great influence of abnormal data on slope due to use of a least square method for regression in a process of correction by using a whole chromosome method in the prior art is well solved by adopting robust regression and CV regression, so that the robustness and accuracy of sample analysis are ensured. A set of analysis method for judging anomaly of sex chromosome by utilizing a ZZ value is originated; and the chromosome anomaly is judged by using the ZZ value method, so that related statistic judgment standards are better met, a result is more accurate, and the reliability of the method for judging the anomaly of the sex chromosome is enhanced.
Owner:北京普康瑞仁医学检验所有限公司

Topology identification and parameter estimation method for low-voltage distribution network

The invention discloses a topology identification and parameter estimation method for a low-voltage distribution network. The method comprises the following steps: fusing the series-parallel relationfeatures of nodes, and building a unified parallel circuit regression model based on a voltage drop equation; screening an optimal matching table pair, and performing minimum error root-mean-square screening according to a regression result of the measurement data; realizing topology identification and parameter estimation between the two points, and recovering an actual power grid model from theunified parallel circuit model according to the regression coefficient; eliminating redundant information, and analyzing and matching upstream and downstream nodes according to the voltage correlation, and generating branch set data. The topology identification and parameter estimation method can accurately identify the affiliation of each measurement node in the low-voltage power distribution network and estimate the transformer area line parameters with high precision; the algorithm is combined with the characteristics of topology identification and parameter estimation problems, and therefore the risks of misjudgment and redundant information generation can be reduced.
Owner:SOUTHEAST UNIV

Cement raw meal three moduli measuring method based on partial least squares

The invention provides a cement raw meal three moduli measuring method based on partial least squares, relating to a method for detecting material components by laser induced plasma spectroscopy. The method comprises the following steps: firstly detecting cement raw meal calibration samples with known components by adopting an LIBS system and building calibration models of element concentration ratio and characteristic spectrum line intensity ratio by utilizing a spectrum standardization method according to the obtained characteristic spectrum line intensity; then carrying out online detection on the samples to be detected and obtaining LIBS spectra, judging the element concentration ratio through the regression results and then determining the three moduli of cement raw meal by substituting the spectrum line information obtained through measurement into the built calibration models. The method has the effects of taking full advantage of the spectrum line information obtained by the LIBS spectra, considering the influence of the interference elements on the measuring results and reducing the interference of matrix effects and has the characteristics of good goodness of fit, strong repeatability and high prediction accuracy compared with traditional univariate calibration methods.
Owner:TSINGHUA UNIV

Multimodal pattern classification method based on analytical dictionary learning

InactiveCN107392233AImprove Judgment AbilityImprove LupineCharacter and pattern recognitionDictionary learningModal data
The invention discloses a multimodal pattern classification method based on analytical dictionary learning, and can enhance the classification accuracy. Characteristic information and shared class information of different modal data are reinforced, and the multimodal image characteristic information is arranged under a framework performing dictionary and classifier learning simultaneously to perform crucial refining so that the subsequent classification based on the classifier regression result maximum position index is facilitated. Meanwhile, the classification target having flexibility is learnt by applying the interval target strategy so that the crucial capacity and the robustness of the whole model can be enhanced and the classification accuracy can be enhanced.
Owner:DALIAN UNIV OF TECH

Optimized parametric modeling system and method

A system for enabling optimization of a parametric modeling process. The system includes a processor and an interface that allows at least one user input. Additionally, the system includes a regression analysis tree program that is executable by the processor. Upon execution by the processor, the regression analysis tree program operates to build a tree in accordance with the at least one user input by using a modified forward stepwise regression process to select the attributes for the tree's branches from a plurality of attributes. After the tree is built, the regression analysis tree program then performs regression analysis to calculate at least one regression result for an attribute subset in a tree branch when the tree branch is in compliance with at least one criterion and the attribute subset has not been previously analyzed.
Owner:THE BOEING CO

Quick three-dimensional mask diffraction near-field calculation method based on sample library and data fitting

The invention provides a quick three-dimensional mask diffraction near-field calculation method based on sample library and data fitting. The method includes following particular steps: a) establishing a three-dimensional mask diffraction matrix sample library, and calculating diffraction near-field data correction factors corresponding to convex angles, concave angles and edge zones; b) to one three-dimensional mask requiring diffraction near-field calculation, determining an plurality of observation points on the mask, and distributing a sub zone to each observation point; (c) with each observation point as a center, setting a squared zone surrounding the observation point on the mask; (d) according to the squared zone and the sample library, with kernel regression technology and a data fitting method, respectively calculating a diffraction matrix regression result corresponding to each observation point; and (e) finally filling the regression results of all observation points into corresponding sub zones, thereby splicing the diffraction matrix regression result corresponding to the whole three-dimensional mask. The method considers the influence of corner structures to the diffraction near field in the three-dimensional mask graph, so that calculation precision of three-dimensional mask diffraction near-field calculation is increased.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
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