ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    facet.materialart.
    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water
    Keywords: TA1-2040 ; T1-995 ; TA170-171 ; natural hazards & ; artificial neural network ; flood routing ; the Three Gorges Dam ; backtracking search optimization algorithm (BSA) ; lag analysis ; artificial intelligence ; classification and regression trees (CART) ; decision tree ; real-time ; optimization ; ensemble empirical mode decomposition (EEMD) ; improved bat algorithm ; convolutional neural networks ; ANFIS ; method of tracking energy differences (MTED) ; adaptive neuro-fuzzy inference system (ANFIS) ; recurrent nonlinear autoregressive with exogenous inputs (RNARX) ; disasters ; flood prediction ; ANN-based models ; flood inundation map ; ensemble machine learning ; flood forecast ; sensitivity ; hydrologic models ; phase space reconstruction ; water level forecast ; data forward prediction ; early flood warning systems ; bees algorithm ; random forest ; uncertainty ; soft computing ; data science ; hydrometeorology ; LSTM ; rating curve method ; forecasting ; superpixel ; particle swarm optimization ; high-resolution remote-sensing images ; machine learning ; support vector machine ; Lower Yellow River ; extreme event management ; runoff series ; empirical wavelet transform ; Muskingum model ; hydrograph predictions ; bat algorithm ; data scarce basins ; Wilson flood ; self-organizing map ; big data ; extreme learning machine (ELM) ; hydroinformatics ; nonlinear Muskingum model ; invasive weed optimization ; rainfall–runoff ; flood forecasting ; artificial neural networks ; flash-flood ; streamflow predictions ; precipitation-runoff ; the upper Yangtze River ; survey ; parameters ; Haraz watershed ; ANN ; time series prediction ; postprocessing ; flood susceptibility modeling ; rainfall-runoff ; deep learning ; database ; LSTM network ; ensemble technique ; hybrid neural network ; self-organizing map (SOM) ; data assimilation ; particle filter algorithm ; monthly streamflow forecasting ; Dongting Lake ; machine learning methods ; micro-model ; stopping criteria ; Google Maps ; cultural algorithm ; wolf pack algorithm ; flood events ; urban water bodies ; Karahan flood ; St. Venant equations ; hybrid & ; hydrologic model ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...