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ID:40058869
大小:1.11 MB
页数:124页
时间:2019-07-18
《Echo State Networks for Adaptive Filtering》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、UniversityofAppliedSciencesDepartmentofComputerScienceMasterThesisEchoStateNetworksforAdaptiveFilteringAliUygarKüçükemreAthesissubmittedtotheUniversityofAppliedSciencesBonn-Rhein-SiegforthedegreeofMasterofScienceinAutonomousSystemsstRefereeandTutor:1Prof.Dr.Paul-GerhardPlöge
2、rndReferee:2................................................rdexternalReferee:3................................................Submitted:30.04.2006ECHOSTATENETWORKSFORADAPTIVEFILTERINGI,theundersigned,declarethatthisworkhasnotpreviouslybeensubmittedtothisoranyotherUniversity
3、,andthatunlessotherwisestated,itisentirelymyownwork.........................................................DateAliUygarKüçükemreA.U.KÜÇÜKEMREIIECHOSTATENETWORKSFORADAPTIVEFILTERINGACKNOWLEDGEMENTSDevotedtothemydearfriendÖzgünDoğan....SpecialthankstomyprofessorPaul-GerhardPl
4、ögerforhisvaluablesupport,teachingandunderstandingduringmystudies.ForthefirsttimeinmylifeIlikedMathematicsafterhisshortdiscoursesduringthelectures...Nevertheless,Ithanktomydearparentsforalltheirsupportduringthisthesiswork.A.U.KÜÇÜKEMREIIIECHOSTATENETWORKSFORADAPTIVEFILTERING
5、ABSTRACTAnAdaptiveFilterisaselfdesigningsystemthatcanworkinnon-stationaryenvironments.Itreliesonarecursivealgorithmwhichcontinuouslyupdateitsparametersinordertotrackthechangesitssurrounding.Ifthenon-stationarityoftheenvironmentisgovernedbynonlineardynamicalprocessesaRecurren
6、tNeuralNetworks(RNNs)canbeusedsuccessfullylikeanadaptivefilter,providedtheycanlearninanonlinemanner.Thisisanecessaryconditionforadaptivefiltering.Inthisthesis,wewilldiscussusageofaspecialtypeofaRNNforthosetasks,theyarecalledtheEchoStateNetworks(ESNs).Theyconstituteanovelappr
7、oachthatcanbeusedforRNNtraining.Countertotheconventionalmethods,whichusuallyrequireahugeoftimetolearnagivensystem,anESNcanbetrainedinlineartimeinaveryquickway.Mostofthetime,anofflinelearningalgorithmisusedtoteachtheESN.Butthisdoesnotmeanthattrainingisonlylimitedtothisalgorit
8、hm.ThestructureoftheESN,letstheonlineadaptationalgorithmsfromadaptivefilter
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