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

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简介：Amodelfortheoptimisationofallfuzzy-controller-componentsbyanartificialneuralnetwork.AModularApproachforReliableNanoelectronicandVery-DeepSubmicronCircuitDesignBasedonAnalogNeuralNetworkPrinciples.AmultipointopticalevanescentwaveU-bendsensorsystembasedonartificialneuralnetworkpatternrecognition.Amultivariableapproachformappingsub-pixellandcoverdistributionsusingMISRandMODIS:ApplicationintheBrazilianAmazonregion.

简介：Anoveldailypeakloadforecastingmethodusinganalyzablestructuredneuralnetwork；Apseudo-randomtestingschemeforanalogintegratedcircuitsusingartificialneuralnetworkmodel-basedobservers；AROBUSTPOWERSYSTEMSTABILIZERCONFIGURATIONUSINGARTIFICIALNEURALNETWORKBASEDONLINEAROPTIMALCONTROL(STUDENTPAPERCOMPETITION)；ASelf-AimingCameraBasedonNeurophysicalPrinciples；Aself-organizingneuralmodelforcontext-basedactionrecognition；Asequentialfeatureselection-basedneuralnetworkapproachtodynamicvoltagestabilityestimation。

简介：Abiologicallyinspiredconnectionistsystemfornaturallanguageprocessing，Abiologicallymotivatedconnectionistsystemforpredictingthenextwordinnaturallanguagesentences，Acombinedmodelofwaveletandnenralnetworkforshorttermloadforecasting，Acomparativestudyofradialbasisfunctionneuralnetworksandwaveletneuralnetworksinclassificationofremotelysenseddata……

简介：为了进一步优化神经网络算法,提高网络神经算法的速率并提高其稳定性,就现有BP算法所存在的收敛速度慢以及容易陷入局部极小值的弊病,我们将进一步通过一般改进算法解决在神经网络结构优化过程中依然无法解决的问题。依据遗传算法的特征,进一步在经过改进的压缩映射遗传的基础上提出了BP神经网络优化方案。泛函分析中压缩映射原理的应用,一方面解决了困扰人们的BP神经网络算法所固有的缺点,显著地提高了神经网络算法的收敛速度,而且解决了BP神经在运行的过程中和网络连接权值初值的取值紧密相连的缺点。经过大量的计算我们得到如下数据：经过优化改进后,训练时间节约了8.3%,训练步数降低了近17.4%。经过大量的研究实验表明：经过改进后的BP神经网络算法取得了良好的效果,十分具有应用价值。

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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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