AHydrologicForecastMethodBasedonLSTM-BP

doi:10.3969/j.issn.1006-2475.2018.07.017

Abstract

Abstract: Hydrologicaldataissequentialandnon-linear,withhighuncertaintyandcomplexity.Theresultsofhydrologicalforecastingusingasinglemodelareoftendissatisfactory.Therefore,thispaperputsforwordamulti-modelcombinationforecastmodel,basedonLSTMandBPneuralnetwork,toforecasttheflood.ThemodeltakeshydrologicaldatarecordsofthepastyearobtainedfromtheZiwuheRiverasanexample,thetestresultsshowthattheeffectsofmulti-modelcombinationforecastmodelarebetterthanthatofasinglemodel,andthestabilityandaccuracyofforecastingarealsoimproved,whichprovidesanewideaforhydrologicalforecasting.

Key words: longshort-termmemory(LSTM), multi-modelcombinationforecastmodel, hydrologicforecast

CLC Number:

TP183

FENGJun,PANFei. AHydrologicForecastMethodBasedonLSTM-BP[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2018.07.017.

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