04545nam 2201453z- 450 991034668830332120231214133707.0(CKB)4920000000094786(oapen)https://directory.doabooks.org/handle/20.500.12854/47751(EXLCZ)99492000000009478620202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierFlood Forecasting Using Machine Learning MethodsMDPI - Multidisciplinary Digital Publishing Institute20191 electronic resource (376 p.)3-03897-548-6 This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Waternatural hazards &artificial neural networkflood routingthe Three Gorges Dambacktracking search optimization algorithm (BSA)lag analysisartificial intelligenceclassification and regression trees (CART)decision treereal-timeoptimizationensemble empirical mode decomposition (EEMD)improved bat algorithmconvolutional neural networksANFISmethod of tracking energy differences (MTED)adaptive neuro-fuzzy inference system (ANFIS)recurrent nonlinear autoregressive with exogenous inputs (RNARX)disastersflood predictionANN-based modelsflood inundation mapensemble machine learningflood forecastsensitivityhydrologic modelsphase space reconstructionwater level forecastdata forward predictionearly flood warning systemsbees algorithmrandom forestuncertaintysoft computingdata sciencehydrometeorologyLSTMrating curve methodforecastingsuperpixelparticle swarm optimizationhigh-resolution remote-sensing imagesmachine learningsupport vector machineLower Yellow Riverextreme event managementrunoff seriesempirical wavelet transformMuskingum modelhydrograph predictionsbat algorithmdata scarce basinsWilson floodself-organizing mapbig dataextreme learning machine (ELM)hydroinformaticsnonlinear Muskingum modelinvasive weed optimizationrainfall–runoffflood forecastingartificial neural networksflash-floodstreamflow predictionsprecipitation-runoffthe upper Yangtze RiversurveyparametersHaraz watershedANNtime series predictionpostprocessingflood susceptibility modelingrainfall-runoffdeep learningdatabaseLSTM networkensemble techniquehybrid neural networkself-organizing map (SOM)data assimilationparticle filter algorithmmonthly streamflow forecastingDongting Lakemachine learning methodsmicro-modelstopping criteriaGoogle Mapscultural algorithmwolf pack algorithmflood eventsurban water bodiesKarahan floodSt. Venant equationshybrid &hydrologic modelChang Fi-Johnauth1287662Hsu KuolinauthChang Li-ChiuauthBOOK9910346688303321Flood Forecasting Using Machine Learning Methods3020270UNINA