04676nam 2201489z- 450 991034668830332120210211(CKB)4920000000094786(oapen)https://directory.doabooks.org/handle/20.500.12854/47751(oapen)doab47751(EXLCZ)99492000000009478620202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierFlood Forecasting Using Machine Learning MethodsMDPI - Multidisciplinary Digital Publishing Institute20191 online 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 WaterHistory of engineering and technologybicsscadaptive neuro-fuzzy inference system (ANFIS)ANFISANNANN-based modelsartificial intelligenceartificial neural networkartificial neural networksbacktracking search optimization algorithm (BSA)bat algorithmbees algorithmbig dataclassification and regression trees (CART)convolutional neural networkscultural algorithmdata assimilationdata forward predictiondata scarce basinsdata sciencedatabasedecision treedeep learningdisastersDongting Lakeearly flood warning systemsempirical wavelet transformensemble empirical mode decomposition (EEMD)ensemble machine learningensemble techniqueextreme event managementextreme learning machine (ELM)flash-floodflood eventsflood forecastflood forecastingflood inundation mapflood predictionflood routingflood susceptibility modelingforecastingGoogle MapsHaraz watershedhigh-resolution remote-sensing imageshybrid &hybrid neural networkhydrograph predictionshydroinformaticshydrologic modelhydrologic modelshydrometeorologyimproved bat algorithminvasive weed optimizationKarahan floodlag analysisLower Yellow RiverLSTMLSTM networkmachine learningmachine learning methodsmethod of tracking energy differences (MTED)micro-modelmonthly streamflow forecastingMuskingum modelnatural hazards &nonlinear Muskingum modeloptimizationparametersparticle filter algorithmparticle swarm optimizationphase space reconstructionpostprocessingprecipitation-runoffrainfall-runoffrainfall-runoffrandom forestrating curve methodreal-timerecurrent nonlinear autoregressive with exogenous inputs (RNARX)runoff seriesself-organizing mapself-organizing map (SOM)sensitivitysoft computingSt. Venant equationsstopping criteriastreamflow predictionssuperpixelsupport vector machinesurveythe Three Gorges Damthe upper Yangtze Rivertime series predictionuncertaintyurban water bodieswater level forecastWilson floodwolf pack algorithmHistory of engineering and technologyChang Fi-Johnauth1287662Hsu KuolinauthChang Li-ChiuauthBOOK9910346688303321Flood Forecasting Using Machine Learning Methods3020270UNINA