Flood Forecasting Using Machine Learning Methods
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- books978-3-03897-549-6
- 9783038975489
- 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
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OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access star Unrestricted online access
This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water
Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0/ cc https://creativecommons.org/licenses/by-nc-nd/4.0/
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