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