简介：本文对签名技术的研究背景和发展状况做了简单介绍,描述了在线和离线鉴定系统的优缺点。考虑大部分人对自己的签名有独特的写法和设计,并不同于其对平常文字的书写,综合比对了国内外笔迹鉴定公开数据库,针对个人签名设计、开发了一套基于Android离线签名鉴定系统,并建立了更具实用性的签名数据库xtu_302sg。本文使用深度卷积神经网络（ConvolutionalNeuralNetwork,CNN）提取签名图片特征做身份鉴定,相对于传统方法取得了不错的效果。

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简介：Dynamicnodecreationandfastlearningalgorithmforahybridfeedforwardneuralnetwork.Flight-pathanglecontrolvianeuro-adaptiveBackstepping.Locallearningframeworkforhandwrittencharacterrecognition.Maximizingmarginsofmultilayerneuralnetworks.ModularnetworkSOMself-orgmlizingmapofasystemsgroupinfunctionspace.

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简介：ApplicationoftheRTNNmodelforasystemidentification,predictionandcontrol；AssociativeMemoryUsingRatioRuleforMulti-valuedPatternAssociation；Batch-to-BatchModel-basedIterativeOptimisationControlforaBatchPolymerisationReactor；BehaviouralPlasticityinAutonomousAgents:AComparisonbetweenTwoTypesofController；ChannelEqualizationUsingComplex-ValuedRecurrentNeuralNetworks；Classificationofnaturallanguagesentencesusingneuralnetworks；Combiningarecurrentneuralnetworkandtheoutputregulationtheoryfornon-linearadaptivecontrol。

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简介：ConfigurablemultilayerCNN-UMemulatoronFPGA；Cortically-inspiredVisualProcessingwithaFourLayerCellularNeuralNetwork；Effectofcouplingresistorsonsteadypatternsincoupledoscillatornetworks；Exponentialconvergenceestimatesforneuralnetworkswithmultipledelays；FEATUREEXTRACTIONINEPILEPSYUSINGACELLULARNEURALNETWORKBASEDDEVICEFIRSTRESULTS；FurtherResultsontheStabilityofDelayedCellularNeuralNetworks；Globalstabilityanalysisindelayedcellularneuralnetworks；ImageedgedetectionusingadaptivemorphologyMeyerWavelet-CNN。

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简介：PredictionoftheDimensionalChangesduringSinteringusingBackpropagationAlgorithm，Predictionofthenextstockpriceusingneuralnetwork-extractionthefeaturetopredictnextstockpricebyfiltering，Pulsemodeneuronwithpiecewiselinearactivationfunction，Remarksonmultilayerneuralnetworksinvolvingchaosneurons……

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简介：人工神经网络是另外一种计算模式。冯·诺依曼机器是以．人类信息处理过程的处理/记忆的抽象为基础的，而神经网络是以动物大脑并行处理的体系结构为基础的。这是一种多处理器的计算机系统，由大量简单的处理单元高度互连，简单分级通信，以及在各单元之间进行适应性交互作用组成。

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简介：AnewapproachtogenerateAself-organizingfuzzyneuralnetworkmodel.Anonlinearcombiningforecastmethodbasedonfuzzyneuralnetwork.Anovelclustermethodinfrizzyneuralnetworks.AnovelrobustPIDcontrollerdesignbyfuzzyneuralnetwork.Arecurrentfuzzyneuralnetwork:learningandapplication.Astudyofchatterpredictioninendmillingprocess(fuzzyneuralnetworkmodelwithinputsofcuttingconditionsandsound.Aweightedfuzzyreasoninganditscorrespondingneuralnetwork.

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简介：PriorityorderedBPneuralnetworkandtheapplicationforspeakeridentification；ProbingmodificationofBPneuralnetworklearning-rate；Real-timeoptimalexcitationcontrollerusingneuralnetwork；ResearchonthemodelingoftheaxialloaddistributioncoefficientofcylindricalgearsingearCADbasedonANN；Short-termsystemmarginalpriceforecastingwithhybridmodule；StudyonautomaticcreatingmethodofpublictransportationdispatchingformbasedonBPneuralnetwork。

简介：HarmonicMinimizingNeuralNetworkSVCControllerforCompensatingUnbalancedFluctuatingLoads；ImplementationofanAdaptivePredictor-CorrectorNeuralControllerwithintheNASAIFCSF-15WVUSimulator；NeuralNetworkAdaptiveControlofaSpacePlatform-BasedDeployableManipulator；Neuralnetworkcontroldesignforarigid-linkelectricallydrivenrobot；Neuralnetworkcontrolfordynamicvoltagerestorer；NeuralNetworkControlofAir-to-FuelRatioinaBi-FuelEngine；Neuralnetworkcontrolofcoldflowcirculatingfluidizedbed；Neuralnetworkcontrolofmultlvariableprocesseswithafastoptimisationalgorithm。

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