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1、KybernetesInformationsystemsbasedon27,3neuralnetworkandwaveletmethodswithapplicationto224decisionmaking,modelingandpredictiontasksD.A.KarrasUniversityofIoannina,DepartmentofInformatics,Ioannina,Greece,S.A.KarkanisNCSR“Demokritos”,InstituteofNuclearTechnol
2、ogy,Ag.Paraskevi,Greece,andB.G.MertziosDemocritusUniversityofThrace,DepartmentofElectricalandComputerEngineering,Xanthi,GreeceIntroductionInformationprocessingofsignalsandimageshasbecomeanessentialpartofcontemporaryscientificanddevelopmentalactivityinthef
3、ieldofcomputerscienceandengineering.Itisusedintelecommunications,indiagnosis,inthetransmissionandanalysisofsatelliteimages,inmedicalimaging,inqualitycontrolandintimeseriesforecastingamongmanyimportantdisciplinesofcomputeraidedengineering.Thetaskswherethes
4、einformationprocessingsystemsshouldbeinvolvedinordertobeintegralpartsofsuchapplicationsaredecisionmaking,predictionandmodeling.Forinstance,medicaldiagnosisandqualitycontrolinvolvedecisionmaking(deciding,usingsignalandimageinformation,whetherapersonsuffers
5、fromanillnessoraproductshouldberejectedasuseless),telecommunicationsanddatatransmissioninvolvemodelingofsignalsandimages(e.g.fortheirefficientcompression)andfinally,timeseriesforecastinginvolvespredictionofsignalfluctuationsintime.Alloftheseapplicationsin
6、volvetheanalysisandinterpretationofcomplextimeseriesinone(signals)ortwodimensionalform(images).Therefore,designingandbuildingrobustinformationsystemsthatprocesssignalsandimagesbecomesincreasinglyimportantincontemporaryresearchanddevelopmentactivities.Thed
7、esiredpropertiesofsuchsystemsincludeaccurateanalysis,efficientcoding(modelingisaprerequisite),rapidtransmission,andthenreconstructionofthedelicateoscillationsorfluctuationsasafunctionofKybernetes,Vol.27No.3,1998,timeorspace.Thesecharacteristicsareessentia
8、lsincetheinformationpp.224-236,©MCBUniversityPress,0368-492Xcontainedinsignalsandimagesiseffectivelypresentinthecomplicatedarabesquesappearingintheirrepresentations.Thus,anomaliesandNeuralnetworkdiscontinuitiesplaya
