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105 results about "Chaos theory" patented technology
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Chaos theory is a branch of mathematics focusing on the behavior of dynamical systems that are highly sensitive to initial conditions. Chaos theory is an interdisciplinary theory stating that, within the apparent randomness of chaotic complex systems, there are underlying patterns, constant feedback loops, repetition, self-similarity, fractals, and self-organization. The butterfly effect describes how a small change in one state of a deterministic nonlinear system can result in large differences in a later state, meaning there is sensitive dependence on initial conditions. A metaphor for this behavior is that a butterfly flapping its wings in China can cause a hurricane in Texas.
Multivariate statistical forecasting system, method and software
InactiveUS20070156479A1Improved statistical analysisImproved chartingFinanceForecastingChaos theoryPredictive systems
The software, methods and system of the current invention creates an interactive, auto-execution financial trading platform with unique forecasting algorithms, trading graphs and data mining features. The platform uses a univariate and multivariate architecture that is designed to improve performance of predictors and speed up calculations. Trading graphs, data mining features and predictive algorithms are predominantly based on fractal mathematics and Chaos theory. Even the unique software architecture is fractal in nature. All of these features are intended to be used individually or collectively to improve forecasting performance of financial markets. The above mentioned components also make it easier to manage a portfolio of securities and / or futures.
Owner:LONG ERIK T
Improved fuzzy neural network bus intelligent scheduling method based on chaos theory
InactiveCN106295886ARealize intelligent schedulingEasy to fall into local optimal solutionForecastingNeural learning methodsChaos theoryAlgorithm
The invention discloses an improved fuzzy neural network bus intelligent scheduling method based on a chaos theory, and belongs to the field of intelligent transportation. According to the improved particle swarm bus intelligent scheduling method based on the chaos theory, advantages and complementarity of various algorithms are fully utilized, a series of improvement measures are also introduced, such as conjugate gradient optimization, and inertia factor and constraint factor of the particle swarm algorithm etc., the mechanism and the search performance are researched from the theoretical and practical perspectives, problems of poor global search capability and premature convergence of the conventional optimization algorithm are fundamentally solved, the diversity of population can be obviously increased, the global search capability is obviously improved, the problem of fuzzy information can be effectively dealt with, the convergence speed is fast, and a new high-efficiency method is provided for bus intelligent scheduling.
Owner:梁广俊
Method for realizing state monitoring and fault diagnosis of water turbine based on chaos theory
ActiveCN105240187AImprove signal-to-noise ratioCancel noiseHydro energy generationMachines/enginesDynamic methodCavitation
The invention discloses a method for realizing state monitoring and fault diagnosis of a water turbine based on a chaos theory, in particular, relates to a method for operating state monitoring and fault diagnosis of the water turbine, can preferably master the characteristic of instability of an internal flowing field of the water turbine, and solves the problem of difficult diagnosis of cavitation fault of a traditional water turbine. The method uses the promotion of wavelet transform for denoising pressure pulsation signals, and uses a chaos dynamics method for analyzing chaos dynamics characteristics of the water turbine in off-design operation so as to judge the caviation degree in the operation of the water turbine and to predict possible faults. The method is applied to the operation state monitoring and the fault diagnosis of the water turbine.
Owner:HARBIN INST OF TECH
Network security situation prediction method based on improved BPNN (back propagation neural network)
ActiveCN106453293AAccurate predictionImprove prediction convergence speedTransmissionNODALChaos theory
The invention relates to the technical field of network security evaluation, in particular to a network security situation prediction method based on a combination of the chaos theory and a neural network. The method comprises the following steps: carrying out processing of normalized network security situation value sequence sets through the mutual information method and the cao method to obtain the optimum embedded dimensions of network security situation sample values, carrying out phase-space reconstruction, and analyzing the maximum Lyapunov exponent of reconstructed samples to determine whether the evaluated samples have chaos predictability or not; determining the numbers of nodes of an output layer and a hidden layer of a BPNN according to characteristics of a nonlinear time sequence and experience; carrying out parameter optimization through an improved firefly algorithm, so as to determine network weights and offset values and establish a network security situation prediction model; and inputting test set samples into the BP neutral network for prediction, and carrying out denormalization of obtained prediction values. The method provided by the invention has the advantages that a network security situation can be more precisely predicted, and the network security situation prediction convergence rate can be increased.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Steam load prediction method
The invention relates to a steam load prediction method. The steam load prediction method includes the steps: S1, collecting historical steam load data to form a steam load time sequence, conducting noise reduction on the steam load time sequence; S2, obtaining the embedded dimension and the delay time of the time sequence by means of the chaos theory, conducting phase-space reconstruction on the time sequence on which noise reduction is conducted, obtaining the sample data of a phase spatial domain to the sample data of the phase spatial domain before the reconstruction, obtaining a prediction model by means of a least square support vector machine; optimizing training parameters of the least squares support vector machine through an SA_PSO algorithm; predicting the steam loading value of the future 24 hours by means of the obtained training model, and obtaining and evaluating the obtained data. By means of the steam load prediction method, a satisfying result can be obtained under the condition that the external factors such as the data type and weather are not considered, and thus the steam load prediction method is simple and effective.
Owner:HARBIN INST OF TECH AT WEIHAI
Electric energy quality steady-state index prediction method based on chaos theory
InactiveCN107491832AReduce complexityReduce computing costForecastingChaos modelsPower qualityChaos theory
The invention relates to an electric energy quality steady-state index prediction method based on a chaos theory. The method comprises the following steps that: firstly, collecting electric energy quality steady-state index data; preprocessing collected electric energy quality steady-state index historical monitoring data, and storing processed data in a database after data is normalized, wherein preprocessing comprises denoising and missing value processing; according to the chaos theory, adopting a C-C method to solve optimal time delay Td and an optimal embedded dimension md for processed electric energy quality steady-state index time data, and carrying out phase space reconstruction to obtain one group of new multidimensional data space; on the basis of a least square support vector machine model, training the reconstructed data space to obtain an optimal prediction model; and utilizing the trained least square support vector machine model to predict the electric energy quality steady-state index to obtain prediction output. By use of the method, the problems that existing electric energy quality steady-state index prediction accuracy is low and the like are solved.
Owner:SHANGHAI MUNICIPAL ELECTRIC POWER CO +2
Host load forecasting method in cloud computing environment
The invention provides a load forecasting method for a cloud computing center host, belongs to the cloud computing field and solves the problem that as virtual machines of different users work on a host of a cloud computing center and the host load is subject to more complicated changes, the host load has to be accurately forecasted to further dispatch the virtual machines so as to achieve the purposes of load balancing and energy consumption reduction. The core of the algorithm lies in that the phase-space reconstruction method in the chaos theory and the data grouping treatment algorithm based on genetic algorithm are combined together. Compared with the present existing method, by adopting the method provided by the invention, a smaller relative error can be obtained. Besides, under the condition that the forecasting time is prolonged, compared with the traditional method, the accumulated error of the forecasting is reduced.
Owner:NANJING UNIV
Method for measuring harmonic waves and interharmonic waves in electric power system by adopting spectrum estimation and chaology
ActiveCN102323476AHigh measurement accuracyThe detection process is fastSpectral/fourier analysisSpecial data processing applicationsAnti jammingChaos theory
The invention provides a method for measuring harmonic waves and interharmonic waves in an electric power system by adopting spectrum estimation and chaology. The method provided by the invention mainly comprises the steps of: firstly, preliminarily measuring the quantity and the frequency of harmonic waves and interharmonic waves in waveform of the electric power system by adopting spectrum estimation; and then constructing a chaotic detection oscillator based on the measured frequencies of the harmonic waves and the interharmonic waves, and measuring the amplitude value of the chaotic detection oscillator, wherein in order to improve the detection precision, the largest Lyapunov exponent is applied as the basis for judgment of a critical condition for phase change of the chaotic detection oscillator in a chaotic state and a large-scale periodic state. According to the method provided by the invention, with higher frequency resolution and amplitude-value measurement accuracy, the frequencies and the amplitude values of the harmonic waves and the interharmonic waves in the electric power system can be highly efficiently measured, and the anti-jamming capability to background noises is strong.
Owner:ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +1
Information propagation model and propagation method based on chaotic theory
The invention request to protect an information propagation prediction model based on the chaotic theory, and belongs to the information propagation analysis field; the model is formed by the flowing steps: obtaining true data sources from social networks, building a user-static multidimensional forwarding factor attribute mechanism, predicting user dynamic behavior characteristics, and building a hot topic propagation model. The following steps are listed: firstly, obtaining related data, and obtaining a data set; secondarily, extracting various behavior characteristics affecting the user from the user, information and user relation angles, and quantifying the information propagation probability; then, using the chaotic theory to predict user dynamic behaviors; finally, combining information diffusion and infectious disease propagating similar propagation mechanisms on the basis of a conventional infectious disease SIR model, fully considering the dynamic behavior characteristics, and improving so as to obtain the information propagation model based on the chaotic theory and user behaviors. The method and model can effectively represent the information propagation dynamic trends in the social networks, thus finding the important influence factors in information propagation.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Psychosomatic diagnosis system
InactiveUS7363226B2Reduce subjectivityObjectively determineData processing applicationsHealth-index calculationChaos theorySpeech sound
Owner:ELECTRONICS NAVIGATION RES INST INDEPENDENT ADMINISTRATIVE INSTITUTION +2
Fuzzy entropy-based noisy signal processing method and iterative singular spectrum soft threshold denoising method
InactiveCN107688120AGood denoising performanceImprove denoising performanceDigital technique networkFrequency analysisChaos theoryFuzzy probability
The invention discloses a fuzzy entropy-based noisy signal processing method and an iterative singular spectrum (SSA) soft threshold denoising method. The method is suitable for noisy signals. Assuming that the noisy signal of length N xin = {x1, x2, ..., xN} and assuming that the additive white noise therein is uncorrelated with the signal, a d-dimensional vector is constructed and the similarityand fuzzy probability are defined by utilizing an original signal xin; a (d + 1)-dimensional vector is constructed and the corresponding similarity and fuzzy probability are defined by the same method; and the fuzzy entropy is defined in the drawing of the description. For components obtained by utilizing a known signal decomposition method, the singular spectrum distribution of all the components is defined as a fuzzy entropy spectrum. The fuzzy entropy for quantifying the complexity of the system in a chaos theory is utilized to characterize a noise plane and provide a more effective path for the processing of the noisy signal; the fuzzy entropy spectrum-based iterative singular spectrum (SSA-IST) soft threshold denoising method has the denoising performance better than that of the traditional truncated singular spectrum method, and wavelet transform and empirical mode decomposition denoising method.
Owner:DANYANG HUASHEN ELECTRIC APPLIANCE CO LTD
Application of symbol sequence analysis and temporal irreversibility to monitoring and controlling boiler flames
InactiveUS20030093246A1Sampled-variable control systemsError detection/correctionSequence analysisChaos theory
The current invention provides a method and apparatus, which uses symbol sequence techniques and / or temporal irreversibility derived from chaos theory to monitor the operating state of individual burner flames on a appropriate time scale. Both the method and apparatus of the present invention may be used optimize the performance of burner flames.
Owner:ELECTRIC POWER RES INST INC
Chaos index value calculation system
InactiveUS20060265444A1High precision computingIncrease speedSpeech analysisDigital computer detailsChaos theoryProcessing element
The present invention provides a system for analyzing a time series signal by a method of Chaos Theory and calculating a chaos theoretical exponent value. It is a chaos theoretical exponent value calculation system comprising: a means for receiving an input of predetermined parameters, a means for reading a time series signal, a means for cutting out from the read time series signal a time series signal for each processing unit x=x(i), a means for calculating a chaos theoretical exponent value of the read time series signal, and a means for outputting a chaos theoretical exponent value of the calculated time series signal, wherein the means for calculating a chaos theoretical exponent value comprises: a means for calculating a chaos theoretical exponent value for a sampling time in a time series signal of the cut-out processing unit x=x(i), and a means for calculating, based on the chaos theoretical exponent value for the sampling time, a chaos theoretical exponent value of a time series signal for a predetermined time.
Owner:ELECTRONICS NAVIGATION RESARCH INST AN INDEPENDENT ADMINISTATIVE INSTION 25 +2
Chaos theory-based digital image parallel encryption method
InactiveCN106651735AGood encryptionResistance to Differential AttacksImage data processing detailsPlaintextChaos theory
Owner:GUANGDONG UNIV OF TECH
Chaos theory based natural wind simulation device
InactiveCN101963159AImprove indoor air environmentCheer upPump controlNon-positive displacement fluid enginesFrequency changerChaos theory
The invention relates to a chaos theory based natural wind simulation device, comprising a chaos equation signal output unit, a computer, a protocol converter, a frequency converter, an analog quantity output unit and at least one group of fan, wherein the chaos equation signal output unit is used for generating fluctuation signals; the computer is used for receiving the fluctuation signals and converting the fluctuation signals into control signals to be output; the protocol converter is used for connecting the computer and the frequency converter and converting the received control signals into digital signals to be output; the frequency converter is used for receiving the digital signals and converting the digital signals into analog signals to be output; and the analog output unit is used for receiving the analog signals and outputting the analog signals to a motor in the fans, and the motor is used for controlling the rotation of fan blades according to the received analog signals so as to ensure that comfortable and changeable simulated natural wind is generated. By simulating the natural wind based on a chaos theory to be output by common electric fans or air conditioners, the invention greatly improves an indoor air environment.
Owner:DONGHUA UNIV
Traffic state prediction method based on chaos theory and device thereof
InactiveCN104978857AEasy to calculateHigh precisionDetection of traffic movementNeural architecturesChaos theoryData stream
The invention discloses a traffic state prediction method based on the chaos theory and a device thereof. The traffic state prediction method comprises the steps that data stream of traffic roads are acquired so that time sequences of multiple traffic parameters are obtained; multi-parameter phase space reconstruction is performed according to the time sequences of the traffic parameters and multi-parameter phase space is obtained, and optimal fusion of phase points is performed through combination of the Bayes estimation theory in the multi-parameter phase space so that fused phase space corresponding to the multiple traffic parameters is obtained; chaos analysis is performed on the time sequences in the fused phase space, and chaos prediction is performed on the traffic roads through combination of an RBF neural network when the time sequences of the fused phase space present chaos characteristics through analysis. Compared with a conventional single-parameter time sequence prediction method, a better prediction effect can be acquired by the traffic state prediction method so that predictability and precision of the traffic state prediction method are relatively high.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Construction method of concrete dam deformation safety monitoring model
InactiveCN111259590ASolve the problem of good fit but poor predictionImprove forecast accuracyGeometric CADChaos modelsChaos theoryStepwise regression
The invention discloses a construction method of a concrete dam deformation safety monitoring model, specifically, on the basis that by using the historical data of dam deformation observation, a stepwise regression model is established, a shuffled frog leaping algorithm (SFLA) with local optimization performance and global optimization performance is adopted to determine a weight coefficient of each sub-model, an inversion analysis method of dam prototype data is utilized to determine physical and mechanical parameters of a dam, a frog leaping hybrid model is established, and then a concretedam deformation safety monitoring model is obtained. According to the method, the residual error is analyzed and predicted by using the chaos theory, and the residual error prediction item is added tothe leapfrog prediction hybrid model, so that the problem that the fitting effect is good and the prediction result is poor due to the fact that the influence of the fitting residual error is not considered in a conventional dam displacement monitoring model is effectively solved.
Owner:NANCHANG UNIV
Electric wire extrusion molding process parameter optimization method for vehicles based on chaotic wavelet neural network
ActiveCN104657777AWith chaotic dynamicsAvoid falling intoNeural learning methodsSurface finishChaos theory
Owner:长春市北方特种电线电缆制造有限公司
Digital watermark encryption realization method
InactiveCN103020496ALarge key spaceIncreased sensitivityImage data processing detailsProgram/content distribution protectionChaos theoryPredictability
The invention provides a digital watermark encryption realization method. On the basis of the research of a digital watermark embedding algorithm in a wavelet domain, the chaos theory is introduced into the establishment of the digital watermark; the algorithm that a chaos sequence which is generated by Logistic mapping is embedded into a wavelet domain digital watermark is proposed and realized; and the algorithm has the characteristics of secret key uniqueness, irreversibility, invisibility and robustness according to the specific unpredictability of the chaos sequence. An experiment proves that the algorithm has a good visual effect and is a practical and feasible digital watermark encryption algorithm.
Owner:王少夫
Chaotic artificial bee colony algorithm based on Levy search
The invention relates to a chaotic artificial bee colony algorithm based on Levy search. The algorithm introduces the chaos theory and the Levy flight theory, and is a new artificial bee colony algorithm. The chaos theory is used for the initialization of a solution, thereby speeding up the convergence of the algorithm. A global optimal solution guide strategy is added at the stage of employed beeoptimization, thereby improving the search capability of the algorithm. The Levy flight strategy is added at the stage of following bees so as to jump out of the local optical solution, thereby enabling the algorithm to balance the global and local optimization capabilities, and improving the precision of an optimal solution.
Owner:FUZHOU UNIV
Heat supply load interval prediction method based on chaos theory
InactiveCN101369322AReasonable choiceHigh precisionChaos modelsNon-linear system modelsChaos theoryEngineering
A heat load area prediction method based on chaos theory is provided, which relats to a prediction method of heat load. The invention solves the problems that the prediction method of the heat load in prior art depends on a plurality of physical data and weather forecast information, point prediction does not satisfy the requirement of heating power schedule on reliability of load forecast, and the heat load area prediction method is lack of inherent regularity description. The method comprises: 1. state space reconstitution of heat load time sequence; 2. chaos recognition of the largest Lyapunov exponent; 3. span forecast of the largest Lyapunov exponent. The invention is directly applied on heat supply energy saving reconstruction, heating power schedule and heating power station control.
Owner:HARBIN INST OF TECH
Computer encryption unit and encryption method
Based on chaos principle about sensitive dependence to initial value, infinite looped key stream is generated providing very high security. Length of cryptographic key is variable, could be any length theoretically (recommend 64-4096). Initial process makes subtle change of cryptographic key lead to non-correlative cryptographs. The random number agitation method in the invention adds random unpredictable information into encrypting process. Thus, even plaintext is same, but the cryptographs are different in each time. Thus, it is not possible to attack and explain the cryptograph. Moreover, the time for the method is not dependent to length of the cryptographic key. Thus, the speed is higher than other methods with same intension. The invention is suitable to various platforms. Wide application prospects are used in Internet and handphone.
Owner:杨斌 +2
A Chaos Control Method Based on Feedback Linearization Theory
InactiveCN102299521AImprove adaptabilityImprove the level of intelligenceSingle network parallel feeding arrangementsPower oscillations reduction/preventionChaos theoryLinear approximation
The invention relates to a chaotic control method based on a feedback linearization theory. The method comprises the following steps of: (1) designing a dynamic linearization model monopolar inversion topological circuit of a dynamic system by using the feedback linearization theory; (2) performing coordinate conversion on a nonlinear system which can be subjected to input and output linearization; (3) performing feedback linearization on the external state of the system through state feedback; (4) designing a chaotic vibration controller u; and (5) selecting appropriate feedback gain and pole assignment to stably control the system. The chaotic control method has the advantages that: 1, different from the general linearization, the feedback linearization fulfills the aim of linearizationthrough strict state conversion and feedback instead of linear approximation of the dynamic characteristic; and 2, the controlled variable can be applied at any moment, and the control method is highin robustness when a model error and measurement noise are generated.
Owner:TIANJIN UNIVERSITY OF TECHNOLOGY
Synchronous frequency hopping sequence predication method based on chaos theory
InactiveCN103973335AImprove predictive performanceImprove predictive hit rateTransmissionChaos theoryDelayed time
The invention discloses a synchronous frequency hopping sequence predication method based on a chaos theory. The method includes the following steps that first, a prediction model is defined; second, an error model is defined; third, the embedded dimension and delay time are determined; fourth, step hopping fragments are removed; fifth, a radial basis function prediction model is established; sixth, a formula and a result are predicted. By means of the synchronous frequency hopping sequence predication method based on the chaos theory, scarce synchronous codes are filtered out, a chaos sequence is left, then, the chaos sequence prediction theory is predicted, and the prediction performance and the overall prediction hit rate of frequency hopping information codes are improved.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
A chaos theoretical exponent value calculation system
InactiveUS20070174377A2Improve accuracyIncrease speedSpeech analysisComputation using denominational number representationChaos theoryProcessing element
Owner:ELECTRONICS NAVIGATION RESARCH INST AN INDEPENDENT ADMINISTATIVE INSTION 25 +2
Application of symbol sequence analysis and temporal irreversibility to monitoring and controlling boiler flames
InactiveUS20040039551A1Sampled-variable control systemsError detection/correctionSequence analysisChaos theory
The current invention provides a method and apparatus, which uses symbol sequence techniques and / or temporal irreversibility derived from chaos theory to monitor the operating state of individual burner flames on a appropriate time scale. Both the method and apparatus of the present invention may be used optimize the performance of burner flames.
Owner:ELECTRIC POWER RES INST INC
High PSNR fragile watermarking method based on chaos theory
InactiveCN106408495AGuaranteed high PSNR characteristicsGood recoveryImage data processing detailsGraphicsChaos theory
The invention provides a high PSNR fragile watermarking method based on a chaos theory. The method includes the following steps of S1 embedding a water mark into an original image; and S2 extracting the water mark from the image embedded with the water mark, changing the position, and recovering the image. The high PSNR fragile watermarking method overcomes all the defects in the original scheme, and meanwhile the storage space required for the watermark does not increase, so that high PSNR can be maintained. The chaotic mapping is used for guaranteeing the safety; a block division theory is used for improving the change area and creating the storage space of recovering the data; and the recovery result of the target image is improved by the edge matching method based on VQ. An experiment shows that the method is safe and effective, and the recovery capability is satisfactory.
Owner:HENAN NORMAL UNIV
Chaos theory-based information label encryption method and system thereof
ActiveCN108416223AGood encryptionSimple designDigital data protectionSecuring communication by chaotic signalsChaos theoryLogistic map
The invention discloses a chaos theory-based information label encryption method and a system thereof in the field of information encryption. The method comprises the following steps of: obtaining anobject attribute of an information label; encrypting the object attribute through a Logistic mapping function in a chaos state; and replacing the original information label by the encrypted information label to serve as a new information label. According to the method, contents of information labels are encrypted through a chaos theory, so that the chaos mapping initial conditions and parameters are sensitive; and when sequential encryption is carried out through sequences generated by the chaos theory, the encryption algorithm is simple to design and has good encryption effect and safety.
Owner:CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
Model parameter optimizing method and device
InactiveCN106650930AImprove classificationImprove predictive performanceNeural learning methodsLearning machineChaos theory
The invention is suitable for a field of information technology and provides a model parameter optimizing method and device. The method includes obtaining sample data and performing standardizing treatment on the sample data; obtaining the optimal penalty coefficient C and the optimal kernel scale Gamma of a kernel extreme learning machine through combining with a Moth optimization algorithm of chaos theory by adopting the sample data subjected to standardization; according to the sample data subjected to standardization, the optimal penalty coefficient C and the optimal kernel scale Gamma, constructing a target classification predication model. The invention solves a problem that the optimal penalty coefficient C and the optimal kernel scale Gamma cannot be obtained by utilizing a grid searching method in the prior art and is beneficial to improvement of effect of the constructed model in classification and predication of determined problems.
Owner:WENZHOU UNIVERSITY
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