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Flood Forecasting Using Machine Learning Methods
Li-Chiu Chang, Kuolin Hsu, Fi-John Chang
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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 &
- 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 &
- 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/books978-3-03897-549-6Editions
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