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1、英文文献英文资料：Artificialneuralnetworks(ANNs)toArtificialNeuralNetworks,abbreviationsalsoreferredtoastheneuralnetwork(NNs)orcalledconnectionmodel(ConnectionistModel),itisakindofmodelanimalsneuralnetworkbehaviorcharacteristic,distributedparallelinformationprocessingalgorithmmathematical
2、model.Thisnetworkrelyonthecomplexityofthesystem,throughtheadjustmentofmutualconnectionbetweennodesinternalrelations,soastoachievethepurposeofprocessinginformation.Artificialneuralnetworkhassincelearningandadaptiveability,canprovideinadvanceofabatchofthroughmutualcorrespondofthein
3、put/outputdata,analyzemasterthelawofpotentialbetween,accordingtothefinalrule,withanewinputdatatocalculate,thisstudyanalyzedtheoutputoftheprocessiscalledthe"training".Artificialneuralnetworkismadeofanumberofnonlinearinterconnectedprocessingunit,adaptiveinformationprocessingsystem.
4、Itisinthemodernneuroscienceresearchresultsisproposedonthebasisof,tryingtosimulatebrainneuralnetworkprocessing,memoryinformationwayinformationprocessing.Artificialneuralnetworkhasfourbasiccharacteristics:(1))thenonlinearrelationshipisthenatureofthenonlinearcommoncharacteristics.Th
5、ewisdomofthebrainisakindofnon-linearphenomena.Artificialneuronsintheactivationorinhibitthetwodifferentstate,thiskindofbehaviorinmathematicsperformanceforanonlinearrelationship.Hasthethresholdofneuronsinthenetworkformedbythehasbetterproperties,canimprovethefaulttoleranceandstorage
6、capacity.(2))thelimitationsaneuralnetworkbyDuoGeneuronswidelyusuallyconnectedto.Asystemoftheoverallbehaviordependsnotonlyonthecharacteristicsofsingleneurons,andmaymainlybytheunittheinteractionbetweenthe,connectedtothe.Throughalargenumberofconnectionbetweenunitssimulationofthebrai
7、nlimitations.Associativememoryisatypicalexampleoflimitations.(3))veryqualitativeartificialneuralnetworkisadaptive,self-organizing,learningability.Neuralnetworknotonlyhandlinginformationcanhaveallsortsofchange,andinthetreatmentoftheinformationatthesametime,thenonlineardynamicsyste
8、mitselfischanging.Oftenbyiterativeproces
