... different activation functions have been proposed. The mostcommonly used activation functions are summarized in Table 1.2.TABLE 1.2 Neuron Activation FunctionsActivation Function Formulaa = ... function of present input only and bears no relation to past input. In this situation, the systemidentification problem becomes a function approximation problem.1.3.1.7.1 Function ApproximationAssume ... LLCContents1IntroductiontoNeuralNetworksforSignalProcessingYuHenHuandJenq-NengHwang2SignalProcessingUsingtheMultilayerPerceptronMichaelT.Manry,HemaChandrasekaran,andCheng-HsiungHsieh3RadialBasisFunctionsAndrewD.Back4AnIntroductiontoKernel-BasedLearningAlgorithmsKlaus-RobertMüller,SebastianMika,GunnarRätsch,KojiTsuda,andBernhardSchölkopf5CommitteeMachinesVolkerTresp6DynamicNeuralNetworksandOptimalSignalProcessingJoseC.Principe7BlindSignalSeparationandBlindDeconvolutionScottC.Douglas8NeuralNetworksandPrincipalComponentAnalysisKonstantinosI.Diamantaras9ApplicationsofArtificialNeuralNetworkstoTimeSeriesPredictionYuansongLiao,JohnMoody,andLizhongWu10ApplicationsofArtificialNeuralNetworks(ANNs)toSpeechProcessingShigeruKatagiri11LearningandAdaptiveCharacterizationofVisualContentsinImageRetrievalSystemsPaisarnMuneesawang,Hau-SanWong,JoseLay,andLingGuan12ApplicationsofNeuralNetworkstoImageProcessingTülayAdali,YueWang,andHuaiLi13HierarchicalFuzzyNeuralNetworksforPatternClassificationJinshiuhTaur,Sun-YuanKung,andShang-HungLinSimpo...