资源描述：
《人工智能神经网络及其语言development of neural network theory for artificial life-thesis, matlab and java code, cavuto》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、THECOOPERUNIONALBERTNERKENSCHOOLOFENGINEERINGANEXPLORATIONANDDEVELOPMENTOFCURRENTARTIFICIALNEURALNETWORKTHEORYANDAPPLICATIONSWITHEMPHASISONARTIFICIALLIFEbyDavidJ.CavutoAthesissubmittedinpartialfulfillmentoftherequirementsforthedegreeofMasterofEngineeringMay6,1997THECOOPERUNIONF
2、ORTHEADVANCEMENTOFSCIENCEANDARTTHECOOPERUNIONFORTHEADVANCEMENTOFSCIENCEANDARTALBERTNERKENSCHOOLOFENGINEERINGThisthesiswaspreparedunderthedirectionoftheCandidatesThesisAdvisorandhasreceivedapproval.ItwassubmittedtotheDeanoftheSchoolofEngineeringandthefullFaculty,andwasapprovedas
3、partialfulfillmentoftherequirementsforthedegreeofMasterofEngineering._________________________________Dean,SchoolofEngineering-Date______________________________Prof.SimonBen-Avi-DateCandidatesThesisAdvisorAcknowledgmentsIwouldliketotakethisopportunitytothank,firstandforemost,m
4、ythesisadvisor,Dr.SimonBen-Avi.Hisadvice,bothasaprofessorandasafriend,wereandalwayswillbeinvaluable.Moreover,IwouldliketothanktheentireEEdepartmentfacultyandstaffforallthesupportandencouragement(andtoleration)theyhaveshownmethroughouttheyears.IamdeeplyindebtedtomyfriendandBigBr
5、otherYashodhanChandrahasRisbud(Yash!).Withouttheoccasionalsmackintheheadheneededtogiveme,Imightnothavemadeitthroughatall.Thanksforputtingupwithme.KappaPhiZetaPsi.Mybrotherssupportedmeinthehardtimesandcheeredmeinthegoodtimes.Cananyoneaskformore?SpecialthankstoTheLeib,Seamous,and
6、ofcourse,myMuffin.Myutmostappreciationandthankstomyparents,GeorgeandDorisCavuto.WhatcanIsay?Thanksforeverything.(Especiallyallthatmoney!)Andfinally,abigoldTHANKS!toPeterCooperforgivingmeaplacetowork,learn,andgrowforthelastsixyears.Anywhereelsewouldhavebeenjustaschool.TheCooperU
7、nionhasbeenmyhome.DJCDisclaimer:thisthesisisentirelyaproductofmyimagination.Anyresemblancetoactualworkispurelycoincidental.i1.AbstractThepurposeofthisstudyistoexplorethepossibilitiesofferedbycurrentArtificialNeuralNet(ANN)structuresandtopologiesanddeterminetheirstrengthsandweak
8、nesses.ThebiologicalinspirationbehindANNstructureisrev
