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
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