Application of Optimized BP Neural Network in Addressing for Garbage Power Plant-中国期刊网

摘要 <正>Neuralnetworkhastheabilitiesofself-studying,self-adapting,faulttoleranceandgeneralization.Buttherearesomedefaultsinitsbasicalgorithm,suchaslowconvergencespeed,localextremes,anduncertainnumberofimpliedlayerandimpliednotes.Thispaperpresentsasolutionforovercomingtheseshortagesfromtwoaspects.Oneistoadoptprinciplecomponentanalysistoselectstudysamplesandmakesomeofthemcontainsamplecharacteristicsasmanyaspossible,theotheristotrainthenetworkusingLevenberg-Marquardtbackwardpropagationalgorithm.Thisnewmethodwasprovedtobevalidandpracticableinsiteselectionofpracticalgarbagepowergenerationplants.

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Application of Optimized BP Neural Network in Addressing for Garbage Power Plant

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Application of Optimized BP Neural Network in Addressing for Garbage Power Plant

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