简介:AnewapproachtogenerateAself-organizingfuzzyneuralnetworkmodel.Anonlinearcombiningforecastmethodbasedonfuzzyneuralnetwork.Anovelclustermethodinfrizzyneuralnetworks.AnovelrobustPIDcontrollerdesignbyfuzzyneuralnetwork.Arecurrentfuzzyneuralnetwork:learningandapplication.Astudyofchatterpredictioninendmillingprocess(fuzzyneuralnetworkmodelwithinputsofcuttingconditionsandsound.Aweightedfuzzyreasoninganditscorrespondingneuralnetwork.
简介:Anti-controlofchaosbasedonfuzzyneuralnetworksinversesystemmethod;ApplicationofArtificialIntelligenceTechniquesforClassificationandLocationofFaultsonThyristor-ControlledSeries-CompensatedLine;AutonomousNavigationinaKnownDynamicEnvironment;BETAFUZZYNEURALNETWORKAPPLICATIONINRECOGNITIONOFSPOKENISOLATEDARABICWORDS;Controlsystemusingfuzzifiedinputneuralnetwork;CoordinatedcontrolofEGRandVNTinturbochargeddieselenginebasedonintakeairmassobserver;DesignofIntelligentOptimalTrackingControlforRobotManipulator。
简介:AConcurrentFuzzy-NeuralNetworkApproachforDecisionSupportSystems,Adynamicallygeneratedfuzzyneuralnetworkanditsapplicationtotorsionalvibrationcontroloftandemcoldrollingmillspindles,Afuzzymodelingofactivemagneticbearingsystemandslidingmodecontrolwithrobusthyperplaneusinμ-synthesistheory……
简介:针对无人动力伞在执行任务时常常在低空、城市上空等复杂气流环境飞行,无人动力伞的响应特性受到飞行速度、航向角和各种风的综合影响,具有的非线性和不确定性.导致事先设计的控制规则不再适合,对此基于PID的控制算法难以达到满意的控制效果.本文提出了一种模糊神经网络控制无人动力伞航向控制策略,利用RBF神经网络所特有的局部逼近能力,对模糊控制规则进行在线推理并获得连续输出,采用GA算法对神经网络参数进行调整来实现对模糊控制器规则库的优化和模糊规则的自动生成.使控制器能够进一步适应无人动力伞实时控制中的时变性和不确定性,保持良好的控制性能;仿真表明算法是可行的.
简介:Dynamicnodecreationandfastlearningalgorithmforahybridfeedforwardneuralnetwork.Flight-pathanglecontrolvianeuro-adaptiveBackstepping.Locallearningframeworkforhandwrittencharacterrecognition.Maximizingmarginsofmultilayerneuralnetworks.ModularnetworkSOMself-orgmlizingmapofasystemsgroupinfunctionspace.
简介:ApplicationoftheRTNNmodelforasystemidentification,predictionandcontrol;AssociativeMemoryUsingRatioRuleforMulti-valuedPatternAssociation;Batch-to-BatchModel-basedIterativeOptimisationControlforaBatchPolymerisationReactor;BehaviouralPlasticityinAutonomousAgents:AComparisonbetweenTwoTypesofController;ChannelEqualizationUsingComplex-ValuedRecurrentNeuralNetworks;Classificationofnaturallanguagesentencesusingneuralnetworks;Combiningarecurrentneuralnetworkandtheoutputregulationtheoryfornon-linearadaptivecontrol。
简介:ConfigurablemultilayerCNN-UMemulatoronFPGA;Cortically-inspiredVisualProcessingwithaFourLayerCellularNeuralNetwork;Effectofcouplingresistorsonsteadypatternsincoupledoscillatornetworks;Exponentialconvergenceestimatesforneuralnetworkswithmultipledelays;FEATUREEXTRACTIONINEPILEPSYUSINGACELLULARNEURALNETWORKBASEDDEVICEFIRSTRESULTS;FurtherResultsontheStabilityofDelayedCellularNeuralNetworks;Globalstabilityanalysisindelayedcellularneuralnetworks;ImageedgedetectionusingadaptivemorphologyMeyerWavelet-CNN。
简介:PredictionoftheDimensionalChangesduringSinteringusingBackpropagationAlgorithm,Predictionofthenextstockpriceusingneuralnetwork-extractionthefeaturetopredictnextstockpricebyfiltering,Pulsemodeneuronwithpiecewiselinearactivationfunction,Remarksonmultilayerneuralnetworksinvolvingchaosneurons……