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38results about How to "Increase the number of iterations" patented technology
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Electric vehicle travel planning method based on multi-target optimization
ActiveCN104331743AOptimization solution setGuaranteed decentralizationForecastingArtificial lifeTransfer probabilityRoad networks
The invention discloses an electric vehicle travel planning method based on multi-target optimization, generally comprising the following steps: (1) a travel planning problem model is established; (2) drivers provide travel information; and (3) an optimal scheme is solved based on a timed multi-target ant colony optimization algorithm. The problem model comprises a road network model, a vehicle model, and travel target and travel constraint definition. Travel information includes: not providing any information, providing constraint information, and providing optimization goal and constraint information. The ant colony optimization algorithm includes the steps of pheromone initialization, route transfer probability calculation, travel scheme search, air conditioner use determining, travel scheme ranking, pheromone updating, and loop optimization. A dynamic stochastic road network model is used to describe the traffic environment and plan the travel of electric vehicles, and target characteristics corresponding to different travel schemes can be reflected. The ant colony optimization algorithm ensures that a multi-target and multi-constraint optimized electric vehicle travel scheme is generated as the number of iterations increases.
Owner:TSINGHUA UNIV
Password key derivation system and method
ActiveUS20100208888A1High iteration countSlows computationMemory loss protectionEncryption apparatus with shift registers/memoriesPassword strengthPassword
A password-based key derivation function includes a sub-function that gets executed multiple times based on an iteration count. A key derivation module computes the iteration count dynamically with each entered password. The iteration count is computed as a function of the password strength. Specifically, the weaker the password, the higher the iteration count; but the stronger the password, the smaller the interaction count. This helps strengthen weaker passwords without penalizing stronger passwords.
Owner:OPEN TEXT HLDG INC
Pressure guide wire temperature compensation method of improved Particle Swarm Optimization neural network
InactiveCN106503790AIncrease the number of iterationsAvoid getting stuck in local optimaBiological neural network modelsSpecial data processing applicationsLocal optimumEngineering
The invention discloses a pressure guide wire temperature compensation method of an improved Particle Swarm Optimization neural network. The method includes the following main steps: collecting pressure guide wire output voltage and parameters related to the environment where a pressure guide wire is, and performing normalization processing on data; building a three-layer front feedback neural network model having an error back propagation capability; utilizing improved Particle Swarm Optimization (PSO) to optimize the weight and threshold value of the built neural network; training the neural network after the weight and threshold value are optimized; and utilizing the neural network model obtained by training to perform temperature compensation on pressure guide wire measured data. The pressure guide wire temperature compensation method of the improved PSO neural network utilizes the improved PSO neural network algorithm to build a pressure guide wire measurement inverse model, the trained model is high in compensation precision, generalization ability and stability, and the defects that a Back Propagation (BP) neural network is easy to fall into local optimum and a standard PSO BP neural network is easy to skip global optimum are overcome.
Owner:余学飞
Method for realizing general demodulation of different modulating signals
InactiveCN101977176AConvergence Angle ExpandedLarge convergence angleMultiple carrier systemsLow-pass filterSynthesis methods
The invention discloses a method for realizing general demodulation of different modulating signals. The method comprises the following steps: firstly, using the direct numerical frequency synthesis method to generate two routes of local orthogonal carrier signals by expanding the rotation mode under the circumferential coordinate in the coordinated rotation digital computer (CORDIC) algorithm ofa convergence domain to synthesize equidirectional subcircuit data xI (t) and orthogonal subcircuit data xQ (t) with receiver terminal output signals; then filtering secondary harmonic components by a low pass filter; afterwards, inputting two routes of signals into a general demodulation module of the vector mode under the circumferential coordinate in the CORDIC algorithm of the convergence domain; finally, selecting a square root operation value or an arc tangent operation value according to different modulation modes to obtain demodulation information by filtering or differencing. In the invention, various modulation modes are integrated in the same hardware, so that the method has the characteristics of good flexibility and outstanding versatile performance; and meanwhile, the complex arithmetic operation is transformed into the displacement and add operation, as a result, the method can greatly reduce the complexity of hardware realization and has good carrier frequency mismatching resistance property.
Owner:ZHEJIANG UNIV
Real-time network flow anomaly detection method based on big data
InactiveCN111107102AReduce threatReal perception detectionData switching networksInternet trafficAttack
The invention discloses a real-time network flow anomaly detection method based on big data, which comprises the following steps: S1, obtaining collected and analyzed historical flow data with attacktags stored in a database to obtain attack types; S2, performing data feature preprocessing on the historical traffic data in the S1, and constructing a first class of feature vectors; S3, constructing a clustering model based on the first class of feature vectors in the S2, and obtaining a target model meeting a preset condition by utilizing model evaluation and optimization; S4, storing the target model obtained in S3 and deploying the target model online; S5, capturing and collecting real-time network data flow packet information transmitted in a local area network; S6, performing data feature preprocessing on the real-time network data traffic packet in S5, and constructing a second type of feature vectors; and S7, according to the target model in the S3 and the second type of featurevectors in the S6, performing real-time online analysis and detection, and judging whether the current real-time network data traffic is abnormal traffic or normal traffic.
Owner:SHANGHAI MARITIME UNIVERSITY
Power distribution network optimizing method
InactiveCN104734150AIncrease the number of iterationsSpecial data processing applicationsAc network circuit arrangementsElectricityPower grid
The invention discloses a power distribution network optimizing method. The power distribution network optimizing method comprises the steps of determination of main line distribution, determination of load connection, overall arrangement of a power supply network and the optimization algorithm for a power distribution network. According to the power distribution network optimizing method, through scientific and reasonable power distribution network optimizing work and power distribution line direction optimization, the electricity benefits of the whole society are improved; losses of a system are reduced, the operating efficiency of a power grid is improved, the capacity, position and power supply range of a transformer substation are determined scientifically, the requirement of the system for effective operation management is met, and the operating reliability of the system is greatly improved.
Owner:STATE GRID CORP OF CHINA +1
Bandwidth-adaptive big iteration receiver
InactiveCN102325001AImprove performanceIncrease profitSpatial transmit diversityError preventionCoding blockCommunications system
The invention relates to a bandwidth-adaptive big iteration receiver. For a broadband multi-antenna orthogonal frequency division multiplexing (OFDM) communication system, the traditional minimum mean square error (MMSE) receiver and a Turbo / LDPC code decoder are combined together so as to compose the big iteration receiver which can provide interference cancellation; and the receiving schemes and the iterating parameters in various OFDM application contexts with different bandwidths are subjected to adaptive adjustment so as to reach the optimal system performance. The receiver provided by the invention has the following working steps: (1) detecting parameters, such as the size of bandwidth, the length of a transmission block, the number of code block, the code rate and the like, which are allocated to a user by a receiving terminal; and (2) calculating the time required for finishing detecting and decoding according to the obtained communication parameters. If a context cannot support the big iteration receiver under the real-time requirements, a receiving scheme is adjusted to be a non-iteration form; and if the iterative reception can be adopted, an MMSE soft interference cancellation-based big iteration detecting scheme which is in a double Turbo form is selected, and the parameters required for the big iteration are further determined.
Owner:SOUTHEAST UNIV
Polarization code BP (Belief Propagation) decoding algorithm based on intelligent post-processing
ActiveCN109586730AIncrease the number of flips and iterationsIncrease decoding gainError correction/detection using linear codesError detection onlyBelief propagationComputer engineering
The invention discloses a polarization code BP (Belief Propagation) decoding algorithm based on intelligent post-processing. An intelligent post-processing step is added on the basis of a traditionalBP algorithm, concretely, when the number of iteration times of the iteration decoding reaches the maximum number of iteration times and does not pass the CRC verification, the intelligent post-processing step is accessed, soft information obtained by employing information obtained in each iteration is taken as data features of each bit and is input into a binary classifier based on a deep neuralnetwork trained in advance to obtain an error bit set and a correct bit set, estimation bit information is respectively selected from the error bit set and the correct bit set to perform information overturning and assignment, symbols of the estimation bit information after processing are taken as symbols of initial freezing bit information, and according to the regulated initial freezing bit information and the received channel information, the iteration decoding is re-executed. Therefore, though the number of overturning times and the number of iteration times are added, the decoding gain can be obviously improved.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA
Optimization design algorithm of superconducting magnet external magnetism shielding coil
ActiveCN101852843AShield low frequency electromagnetic interferenceSimple designMagnetic measurementsSuperconducting CoilsEngineering
The invention provides a simple and effective multi-parameter optimization algorithm without interval limitation, in particular to an optimization design algorithm of a superconducting magnet external magnetism shielding coil, which is used for the design of the superconducting magnet external magnetism shielding coil. The invention changes all parameters related to the design of the superconducting magnet external magnetism shielding coil one by one according to the optimization results on the basis of an initial value, in addition, constraint conditions are taken into consideration during the result evaluation, and the coefficients are regulated and changed according to the condition whether the results are optimized or not, so the optimization of the design parameters is realized.
Owner:宁波健信超导科技股份有限公司
Testing algorithm of image border based on cellular automata
InactiveCN1971619AAchieve exact solutionOvercoming Noise SensitivityImage analysisDiffusionCellular automation
The invention relates to an image edge detecting algorism based on cell automata. It calculates the second derivative of image by simulating the physics diffusion model, and realizes the exact solution for the second derivative of image, and restrains pseudo-zero point by lengthen the iteration time, the operation steps are: (1) simulating the physics diffusion equation; (2) calculating the second derivative of image; (3) searching the pseudo-zero point and determining the edge. The invention overcomes the disadvantage that the second derivative is sensitive for noise, and improves greatly the anti-noise capability, improves the accuracy of solving the second derivative, and improves the accuracy of detecting edge.
Owner:SHANGHAI UNIV
Hydrothermal economical scheduling method based on improved quantum particle swarm algorithm
ActiveCN106570579AIncrease diversityAvoid local optimaForecastingArtificial lifeQuantum particleParticle swarm algorithm
The invention discloses a hydrothermal economical scheduling method based on an improved quantum particle swarm algorithm, and the method comprises the steps: building a hydrothermal economical scheduling mathematic model comprising a cascade reservoir; setting system parameters, and generating an initial population; carrying out the constraint handling of the initial population through employing a constraint handling method, and enabling each particle in the initial population to meet the system constraint; calculating the adaptability value of each particle, and updating the individual optimal value of each particle and the global optimal value of all particles; calculating the positions of particles according to a position calculation formula of the improved quantum particle swarm algorithm; judging whether an end condition is met or not: stopping the iteration and outputting the optimal value if the end condition is met, or else, carrying out returning. The method can find a solution which is high in robustness, is high in convergence speed, and is better in adaptability value.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Grabcut-based sandstone particle improved segmentation algorithm research
PendingCN111681249AReduce the number of iterationsFast convergenceImage enhancementImage analysisAlgorithmPixel image
The invention discloses Grabcut-based sandstone particle improved segmentation algorithm research, and provides a sandstone particle size segmentation algorithm based on an image. Firstly, a method for adaptively and automatically generating a target candidate box is provided, a foreground and background mixed model can be quickly segmented from a background image, the time for manually drawing the box is greatly shortened, and the requirement for real-time performance in an engineering field is met; secondly, the mass center of the super-pixel image of the SLIC is clustered by adopting a K-Means clustering method based on the SLIC, so that the number of samples participating in clustering can be greatly reduced; the Gibbs energy function can determine the weights of the two segmented edges; in order to reduce the number of iterations of foreground and background segmentation of an unknown label of Grabcut in a candidate box, an information entropy function with a certain weight is added to an energy function of Gibbs, segmentation information of a segmented image is supervised, and the real-time performance of the system is further optimized. The invention can be applied to real-time on-line analysis of the grain size of the sandstone in a factory.
Owner:ZHONGSHAN AISHANGZHITONG INFORMATION TECH CO LTD
Password key derivation system and method
ActiveUS8238552B2Increase the number of iterationsReduce calculationMemory loss protectionError detection/correctionPasswordKey derivation function
A password-based key derivation function includes a sub-function that gets executed multiple times based on an iteration count. A key derivation module computes the iteration count dynamically with each entered password. The iteration count is computed as a function of the password strength. Specifically, the weaker the password, the higher the iteration count; but the stronger the password, the smaller the interaction count. This helps strengthen weaker passwords without penalizing stronger passwords.
Owner:OPEN TEXT HLDG INC
Methods and apparatus for power efficient iterative equalization
ActiveUS8989252B1Reduce power consumptionIncrease the number of iterationsMultiple-port networksData representation error detection/correctionPower efficientEqualization
Systems and methods for power efficient iterative equalization on a channel are provided. An iterative decoder decodes received data from a channel detector using a decoding process. The decoder computes a decision metric based on the decoded data and adjusts the number of iterations of the decoding process based on the decision metric. The adjustment occurs prior to a reliability criterion for the decoded data being satisfied. The decoder may pass control back to the channel detector if the adjusted number of iterations has occurred or if the reliability criterion is satisfied. Adjusting the number of iterations of the decoding process may include increasing the number of iterations from a predetermined number of iterations. The decision metric may be based on syndrome weight or hard decisions. The decision metric may be chosen to reduce average power consumption of the detector, the decoder, or circuitry including the detector and the decoder.
Owner:MARVELL ASIA PTE LTD
Spatial domain and transform domain fused noise image reconstruction method
PendingCN111696061AGood at removing image noiseGood image denoising effectImage enhancementImage analysisImage denoisingImage edge
The invention provides a spatial domain and transform domain fused noise image reconstruction method. On the basis of respectively improving and optimizing spatial domain bilateral filtering and transform domain wavelet transform shrinkage, the two improved methods are fused, so that image noise can be well removed, detail information and edge features of the image can be reserved, and meanwhile,a ringing phenomenon cannot be generated. Through multi-test argumentation, three iterations are the optimal iteration times of the algorithm; the result obtained by the algorithm provided by the invention achieves a better image denoising effect than that obtained by a BM3D algorithm; compared with the prior art, the method has the advantages that the image edge feature information is reserved, the detail information of the image is enhanced, the identification degree of the image is greatly improved, the noise image is subjected to high-quality denoising reconstruction, and the reconstructedimage has a better visual effect.
Owner:荆门汇易佳信息科技有限公司
Method and circuit for producing a control voltage for a VCO
ActiveUS7132897B2Increasing resolution and precisionIncrease the number of iterationsPulse automatic controlEngineeringVoltage variation
The control voltage for a VCO (voltage controlled oscillator) is produced in a phase locked loop which in turn is controlled by a computer (40) including an integrated analog circuit (42). First the oscillator control voltage is set to a predetermined value. Then, voltage varying steps are performed. For performing these steps, the circuit includes a main frequency divider and a reference frequency divider both functioning as counters. The beginnings of the counting of each divider are synchronized with each other. The oscillator control voltage is increased by a predetermined voltage difference or increment when the reference divider completes its counting period prior to the main divider completing its counting. The oscillator control voltage is decreased by a predetermined voltage difference or decrement when the main divider finishes its counting period prior to the reference divider finishing its count.
Owner:ATMEL CORP +1
Ship power system fault diagnosis method
InactiveCN112557826AImprove accuracyIncrease the number of iterationsNeural architecturesFault locationSignal onWavelet transform
The invention discloses a ship power system fault diagnosis method, which is a fault diagnosis method for preprocessing fault acquisition signals on the basis of learning vector quantization network prediction to achieve higher precision. Feature values of fault signals are extracted through wavelet transform to serve as input of a learning vector quantization network, fault classification is achieved in the process, and a trained model is used for diagnosing faults. According to the method, the fault diagnosis of the ship power system is realized, the diagnosis accuracy of the optimized algorithm is obviously improved, and the neural network training times and errors are reduced. Compared with a common ship power system fault diagnosis method, the reliability and practicability of ship power system fault diagnosis are enhanced, and the speed and effectiveness of fault diagnosis are improved.
Owner:SHANGHAI MARITIME UNIVERSITY
Neural network operational circuit based on digital-analog hybrid neuron
InactiveCN112784971AImprove accuracyHigh precisionPhysical realisationMachine execution arrangementsShift registerAlgorithm
The invention discloses a neural network operational circuit based on digital-analog hybrid neurons, and relates to the technical field of neural networks. A multiplication operation circuit is used for carrying out multiplication operation on the quantization weight and the fixed-point quantization activation value, the multiplication operation circuit is realized by adopting N shift registers, wherein each shift register shifts and outputs m bits each time, and the addition operation circuit adopts an analog circuit to carry out wide vector summation operation on the m bits shifted and output by the shift registers in sequence, an AD conversion circuit is used for converting the wide vector summation result output by the convolution circuit into a digital signal, wherein the quantization weight is the exponential power of 2 or 0. The circuit is suitable for a mobile terminal and portable equipment, the precision of the neural network model is improved, the accuracy of the output result of the neural network model is improved, the chip area is reduced, the neural network model can be deployed on the terminal, the operation precision is ensured, the problems that a high-precision neural network is high in power consumption and hardware is difficult to implement are solved while precision improvement is met.
Owner:天津智模科技有限公司
Bio-sensor
PendingUS20190038374A1Shorter and efficient and economic prosthesis fitting processIncrease the number of iterationsHumidity sensorsSurgeryEngineeringMechanical engineering
A bio-sensor strip adapted to be located between an object and a body part. The bio-sensor strip comprises one or more of bio-sensors (819, 919) disposed on at least one first polymer film (825), wherein the bio-sensors (819, 919) measure parameters at a location between the object (216, 316, 916) and the body part (932).
Owner:ADAPTTECH LTD INST OF TRANSLATIONAL MEDICINE
A trip planning method for electric vehicles based on multi-objective optimization
ActiveCN104331743BOptimization solution setGuaranteed decentralizationForecastingArtificial lifeDriver/operatorSimulation
The invention discloses an electric vehicle travel planning method based on multi-target optimization, generally comprising the following steps: (1) a travel planning problem model is established; (2) drivers provide travel information; and (3) an optimal scheme is solved based on a timed multi-target ant colony optimization algorithm. The problem model comprises a road network model, a vehicle model, and travel target and travel constraint definition. Travel information includes: not providing any information, providing constraint information, and providing optimization goal and constraint information. The ant colony optimization algorithm includes the steps of pheromone initialization, route transfer probability calculation, travel scheme search, air conditioner use determining, travel scheme ranking, pheromone updating, and loop optimization. A dynamic stochastic road network model is used to describe the traffic environment and plan the travel of electric vehicles, and target characteristics corresponding to different travel schemes can be reflected. The ant colony optimization algorithm ensures that a multi-target and multi-constraint optimized electric vehicle travel scheme is generated as the number of iterations increases.
Owner:TSINGHUA UNIV
Method for realizing general demodulation of different modulating signals
InactiveCN101977176BConvergence Angle ExpandedLarge convergence angleMultiple carrier systemsLow-pass filterSynthesis methods
Owner:ZHEJIANG UNIV
A free-form surface profile tolerance evaluation method based on CMM scanning measurement
InactiveCN109635518AAccurately reflect the contour errorReflect profile errorMeasurement devicesDesign optimisation/simulationData setMeasurement point
The invention discloses a free-form surface profile tolerance evaluation method based on CMM scanning measurement, and the method comprises the following steps: (1) obtaining an original measurement point data set of a measured piece through a scanning type three-coordinate measuring machine, calculating the deviation between points in the original measurement point data set and the surface of a design model of the measured piece, and drawing a deviation curve; (2) decomposing the deviation curve into three parts by utilizing wavelet decomposition, and extracting key points; (3) positioning the key points by using an SQP algorithm according to the mathematical model of the contour error of the free-form surface, and optimizing six parameters in the transformation matrix T to obtain a positioning key point set; And (4) calculating a deviation between the positioning key point and the surface of the tested piece design model by using a curved surface segmentation method, and obtaining acontour error according to the maximum deviation. According to the method, key points are extracted from a deviation curve through wavelet decomposition to simplify the calculation process, then the key points are positioned through the SQP algorithm, and the deviation between the positioning key points and the surface of a model is calculated through a curved surface segmentation method.
Owner:TIANJIN UNIV
An economic dispatch method for hydroelectric power generation based on improved quantum particle swarm algorithm
ActiveCN106570579BIncrease diversityAvoid local optimaForecastingArtificial lifeTheoretical computer scienceQuantum particle
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Hardware architecture for decoding FEC of DMB-T demodulation chip and decoding method
ActiveCN101442677BIncrease the number of iterationsShorten update timeTelevision systemsDigital video signal modificationModem deviceHardware architecture
The invention discloses a hardware architecture and a decoding method for forward error correction (FEC) decoding in a DMB-T modem chip. The hardware architecture comprises 8 parallel FEC data processing modules, each of which comprises an LDPC data processing module and a BCH data processing module; an input data serial / parallel conversion module is used for receiving input data; the LDPC data processing module is used for realizing the iterative computation during LDPC decoding; an LDPC state controlling module is used for controlling computation enable of the LDPC data processing module and the controlling enable of an LDPC_SRAM memorizer; the BCH data processing module is used for realizing BCH verification and BCH correction; and a BCH state controlling module controls the computation enable of the BCH data processing module and the controlling enable of the BCH SRAM memorizer. The method can efficiently decrease the complexity of realizing the hardware of forward error correction, and improve the forward error correction performance. The invention is applicable to all systems needing LDPC encoding, in particular modem chips of DMB-T digital terrestrial broadcasting.
Owner:MAXSCEND MICROELECTRONICS CO LTD
Method for controlling and/or regulating the hydraulic system of gearbox
ActiveCN106895045AFully and accurately determineLow costFluid-pressure actuator testingGearing controlElectrical resistance and conductanceNetwork model
The invention relates to a method for controlling and / or regulating the hydraulic system (1) of gearbox wherein a pump (3) transmits hydraulic oil. A hydraulic network model (2) is used to control and / or regulate the pump (3). The hydraulic system (1) is therefore capable of efficiently controlling or regulating. The hydraulic network model (2) comprises at least one hydraulic resistor (RH1, RH2, RH3, RH4, RH5, RH6, RHS1, RHS3) wherein each volume flow of the resistors(RH1, RH2, RH3, RH4, RH5, RH6, RHS1, RHS3) is calculated. Based on the calculations, the pump (3) is controlled and regulated.
Owner:VOLKSWAGEN AG
Optimization design algorithm of superconducting magnet external magnetism shielding coil
ActiveCN101852843BShield low frequency electromagnetic interferenceSimple designMagnetic measurementsSuperconducting CoilsEngineering
The invention provides a simple and effective multi-parameter optimization algorithm without interval limitation, in particular to an optimization design algorithm of a superconducting magnet external magnetism shielding coil, which is used for the design of the superconducting magnet external magnetism shielding coil. The invention changes all parameters related to the design of the superconducting magnet external magnetism shielding coil one by one according to the optimization results on the basis of an initial value, in addition, constraint conditions are taken into consideration during the result evaluation, and the coefficients are regulated and changed according to the condition whether the results are optimized or not, so the optimization of the design parameters is realized.
Owner:NINGBO JANSEN NMR TECH CO LTD
Image recognition method and corresponding device, storage medium and electronic equipment
ActiveCN112200137AHigh precisionGood edge continuityScene recognitionPattern recognitionComputer graphics (images)
The invention provides an image recognition method and device, a storage medium and electronic equipment. The image recognition method comprises the steps of obtaining a first image and a second imageof a target area; wherein the acquisition conditions of the first image and the second image are different; determining a difference image based on the heterogeneity information of the first image and the second image; carrying out FCM calculation and secondary classification on the difference image to obtain an initial label field image; and identifying changes in the second image relative to the first image based on the difference image and the initial label field image. The edge continuity and the region integrity of the obtained difference image are good, the probability that when an ICMRF algorithm is used for calculating the difference image, iteration frequency is increased, and the difference image is prone to falling into the local optimal solution is reduced, the change of the second image compared with the first image can be accurately recognized, and then the accuracy of the change region is improved.
Owner:INNER MONGOLIA UNIV OF TECH
Image border testing algorithm based on cellular automata
InactiveCN100465997CAchieve exact solutionOvercoming Noise SensitivityImage analysisDiffusionCellular automation
The invention relates to an image edge detecting algorism based on cell automata. It calculates the second derivative of image by simulating the physics diffusion model, and realizes the exact solution for the second derivative of image, and restrains pseudo-zero point by lengthen the iteration time, the operation steps are: (1) simulating the physics diffusion equation; (2) calculating the second derivative of image; (3) searching the pseudo-zero point and determining the edge. The invention overcomes the disadvantage that the second derivative is sensitive for noise, and improves greatly the anti-noise capability, improves the accuracy of solving the second derivative, and improves the accuracy of detecting edge.
Owner:SHANGHAI UNIV
Method for controlling and/or regulating a hydraulic system of a transmission
ActiveCN106895045BImprove energy efficiencyEasy to controlFluid-pressure actuator testingGearing controlElectrical resistance and conductanceEngineering
The invention relates to a method for controlling and / or regulating a hydraulic system (1) of a transmission, wherein hydraulic oil is delivered by a pump (3), wherein a hydraulic network model (2) is used to control and / or regulate the pump (3). The hydraulic system (1) can thus be controlled or regulated efficiently, ie the network model (2) has at least one hydraulic resistor (RH1, RH2, RH3, RH4, RH5, RH6, RHS1, RHS3), wherein the calculation is performed via the resistor ( RH1 , RH2 , RH3 , RH4 , RH5 , RH6 , RHS1 , RHS3 ), wherein the pump ( 3 ) is controlled and / or regulated depending on the calculated volume flow.
Owner:VOLKSWAGEN AG
Parallel learning automaton optimization method based on partial mean value fusion
InactiveCN108734295APreserve probabilistic propertiesIncrease the number of iterationsComputing modelsParallel learningAlgorithm
The invention discloses a parallel learning automaton optimization method based on partial mean value fusion. A learning automaton firstly independently and dispersedly interacts with environment, a probability obtained a mean value fusion machine and an original probability are subjected to weighted average, and a weighted average value is assigned to all learning automations to carry out next circulation, the mean value is not directly assigned to a probability vector, and instead, the mean value is assigned to the probability vector by a certain probability. By use of the method, in an initial learning stage, an own learning direction is kept, and meanwhile, continuous correction is carried out in a learning process.
Owner:SHANGHAI JIAO TONG UNIV +1
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