Flood Forecasting Using Machine Learning Methods

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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Year of Publication:2019
Language:English
Physical Description:1 electronic resource (376 p.)
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ctrlnum (CKB)4920000000094786
(oapen)https://directory.doabooks.org/handle/20.500.12854/47751
(EXLCZ)994920000000094786
collection bib_alma
record_format marc
spelling Chang, Fi-John auth
Flood Forecasting Using Machine Learning Methods
MDPI - Multidisciplinary Digital Publishing Institute 2019
1 electronic resource (376 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water
English
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
3-03897-548-6
Hsu, Kuolin auth
Chang, Li-Chiu auth
language English
format eBook
author Chang, Fi-John
spellingShingle Chang, Fi-John
Flood Forecasting Using Machine Learning Methods
author_facet Chang, Fi-John
Hsu, Kuolin
Chang, Li-Chiu
author_variant f j c fjc
author2 Hsu, Kuolin
Chang, Li-Chiu
author2_variant k h kh
l c c lcc
author_sort Chang, Fi-John
title Flood Forecasting Using Machine Learning Methods
title_full Flood Forecasting Using Machine Learning Methods
title_fullStr Flood Forecasting Using Machine Learning Methods
title_full_unstemmed Flood Forecasting Using Machine Learning Methods
title_auth Flood Forecasting Using Machine Learning Methods
title_new Flood Forecasting Using Machine Learning Methods
title_sort flood forecasting using machine learning methods
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2019
physical 1 electronic resource (376 p.)
isbn 3-03897-548-6
illustrated Not Illustrated
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AT changlichiu floodforecastingusingmachinelearningmethods
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(oapen)https://directory.doabooks.org/handle/20.500.12854/47751
(EXLCZ)994920000000094786
carrierType_str_mv cr
is_hierarchy_title Flood Forecasting Using Machine Learning Methods
author2_original_writing_str_mv noLinkedField
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