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Flood Forecasting Using Machine Learning Methods

Flood Forecasting Using Machine Learning Methods

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This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water

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Keywords

  • adaptive neuro-fuzzy inference system (ANFIS)
  • ANFIS
  • ANN
  • ANN-based models
  • artificial intelligence
  • artificial neural network
  • Artificial Neural Networks
  • backtracking search optimization algorithm (BSA)
  • bat algorithm
  • bees algorithm
  • big data
  • classification and regression trees (CART)
  • classification and regression trees (CART), data science
  • convolutional neural networks
  • cultural algorithm
  • Data assimilation
  • data forward prediction
  • data scarce basins
  • Data science
  • Database
  • decision tree
  • deep learning
  • Disasters
  • Dongting Lake
  • early flood warning systems
  • empirical wavelet transform
  • ensemble empirical mode decomposition (EEMD)
  • ensemble machine learning
  • ensemble technique
  • extreme event management
  • extreme learning machine (ELM)
  • flash-flood
  • flood events
  • flood forecast
  • flood forecasting
  • flood inundation map
  • flood prediction
  • flood routing
  • flood susceptibility modeling
  • Forecasting
  • Google Maps
  • Haraz watershed
  • high-resolution remote-sensing images
  • hybrid &
  • hybrid neural network
  • hydrograph predictions
  • hydroinformatics
  • hydrologic model
  • hydrologic models
  • hydrometeorology
  • improved bat algorithm
  • invasive weed optimization
  • Karahan flood
  • lag analysis
  • Lower Yellow River
  • LSTM
  • LSTM network
  • Machine learning
  • machine learning methods
  • method of tracking energy differences (MTED)
  • micro-model
  • monthly streamflow forecasting
  • Muskingum model
  • natural hazards &
  • natural hazards &amp
  • nonlinear Muskingum model
  • optimization
  • Parameters
  • particle filter algorithm
  • particle swarm optimization
  • phase space reconstruction
  • postprocessing
  • precipitation-runoff
  • rainfall-runoff
  • rainfall–runoff
  • rainfall–runoff, hybrid &
  • rainfall–runoff, hybrid &amp
  • random forest
  • rating curve method
  • Real-time
  • recurrent nonlinear autoregressive with exogenous inputs (RNARX)
  • runoff series
  • self-organizing map
  • self-organizing map (SOM)
  • sensitivity
  • Soft computing
  • St. Venant equations
  • stopping criteria
  • streamflow predictions
  • superpixel
  • support vector machine
  • survey
  • the Three Gorges Dam
  • the upper Yangtze River
  • time series prediction
  • uncertainty
  • urban water bodies
  • water level forecast
  • Wilson flood
  • wolf pack algorithm

Links

DOI: 10.3390/books978-3-03897-549-6

Editions

edition cover
edition cover
edition cover

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