简介:ApplicationoftheRTNNmodelforasystemidentification,predictionandcontrol;AssociativeMemoryUsingRatioRuleforMulti-valuedPatternAssociation;Batch-to-BatchModel-basedIterativeOptimisationControlforaBatchPolymerisationReactor;BehaviouralPlasticityinAutonomousAgents:AComparisonbetweenTwoTypesofController;ChannelEqualizationUsingComplex-ValuedRecurrentNeuralNetworks;Classificationofnaturallanguagesentencesusingneuralnetworks;Combiningarecurrentneuralnetworkandtheoutputregulationtheoryfornon-linearadaptivecontrol。
简介:Arecurrentlocalmodelnetworkfor,nonlinearprocessmodeling.ARECURRENTNEURALNETWORKFORI-DPHASERETRIEVAL.ARecurrentNeuralNetworkforNonlinearConvexProgramming.ArecurrentneuralnetworkmodeloftheB.T.fed-batchfermentationprocess.ActiveControlofSoundbasedonDiagonalRecurrentNeuralNetwork.
简介:Adesignmethodfornoisecancellerusingrecurrentneuralfilter,ADRNN-baseddirectmulti-stepadaptivepredictorforintelligentsystems,Agenerationalterationmodelforevolvingrecurrentneuralnetworktopologiesalongwithweights,AHIGH-PERFORMANCEMULTI-PURPOSEDSPARCHITECTUREFORSIGNALPROCESSINGRESEARCH……
简介:该文针对利用动态库技术进行通信协议模块化设计进行研究,首先简要地介绍了动态库基本理论,然后给通信协议动态库设计方法和设计要点,最后给出了基于UDP的通信协议动态库开发实例。