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1、基于ga-bp神经网络的2124铝合金时效成型试验研究(Experimentalstudyonagingformingof2124aluminumalloybasedonGA-BPneuralnetwork)Experimentalstudyonagingformingof2124aluminumalloybasedonGA-BPneuralnetworkGanZhong,Chengwu,winter,ZhangHaiyan(Schoolofmechanicalandelectricalengineering,NorthwesternPolytechni
2、calUniversity,Xi'an710072)Abstract:Thispaperintroducesthedesignofformingtest2124AluminumAlloytensileprescriptiononthebasisoftheoreticalstudy(stressrelaxationtest),targetedresearchontheinitialstresslevel((T)),theagingtemperatureandholdingtime(T)andotherfactorsinfluenceofstressonth
3、ereleaseofmaterial.Bycomparison,theoptimizationofthestructureofBPneuralnetworkandgeneticalgorithmtoestablishinitialweights,forming2124AluminumAlloyagingstressrelaxationmodel,overcomesthedisadvantagesoftraditionalBPneuralnetworkstructureisdifficulttodetermineandiseasytofallintoloc
4、alminimumpoints,achievedunderdifferentconditionstopredictthestressrelaxationquantity,theaccuracymeetstherequirements.Keywords:agingmolding,stressrelaxation,BPneuralnetwork,geneticalgorithmThis,age,forming,experiments,of,,alloy,basis,on,,the,GA-BP,Neural,NetworksAbstract:Thisessay
5、designedageformingexperimentsof2124alloy(stressrelaxationexperiments)basisonthesummarizingofproductionbothdomesticandabroadandtheoryanalysis,aimingatprimarystress(level),agingtemperature(T),heatpreservationtime(T)andotherfactors'effectiononthereleaseofmaterialstress.Bycomparative
6、withotherNeuralNetworksmethod,optimizetheframeworkofGA-BPandinitializeWeight,thenbuildupthepredictionmodelof2124alloyconquerthe,bugofotherNeuralNetworksandcometruethefunctionofforecastingstressrelaxationqt.itprecisionaccordwithexperimentsdemandKey,word:,age,forming,stress,relaxat
7、ion,BP,Neural,Network,Genetic,AlgorithmsIntroduction:Agingformingisanewsheetmetalformingtechnologywhichcombinespartsformingwithmanualagingtreatment.Itutilizesthestressrelaxationeffectofhightemperaturemetalstotransformelasticdeformationintopermanentplasticdeformation,thusachieving
8、thepurposeofforming[1].Literature[2]fort