Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management

Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management

The main aim of this book is to present various implementations of ML methods and metaheuristic algorithms to improve modelling and prediction hydrological and water resources phenomena having vital importance in water resource management.

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Sonstige:
Kisi, Ozgur
Year of Publication:2021
Language:English
Physical Description:1 electronic resource (238 p.)
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spelling Kisi, Ozgur edt
Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (238 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
The main aim of this book is to present various implementations of ML methods and metaheuristic algorithms to improve modelling and prediction hydrological and water resources phenomena having vital importance in water resource management.
English
Research & information: general bicssc
groundwater
artificial intelligence
hydrologic model
groundwater level prediction
machine learning
principal component analysis
spatiotemporal variation
uncertainty analysis
hydroinformatics
support vector machine
big data
artificial neural network
nitrogen compound
nitrogen prediction
prediction models
neural network
non-linear modeling
PACF
WANN
SVM-LF
SVM-RF
Govindpur
streamflow forecasting
Bayesian model averaging
multivariate adaptive regression spline
M5 model tree
Kernel extreme learning machines
South Korea
uncertainty
sustainability
prediction intervals
ungauged basin
streamflow simulation
satellite precipitation
atmospheric reanalysis
ensemble modeling
additive regression
bagging
dagging
random subspace
rotation forest
flood routing
Muskingum method
extension principle
calibration
fuzzy sets and systems
particle swarm optimization
EEFlux
irrigation performance
CWP
water conservation
NDVI
water resources
Daymet V3
Google Earth Engine
improved extreme learning machine (IELM)
sensitivity analysis
shortwave radiation flux density
sustainable development
3-0365-1720-0
3-0365-1719-7
Kisi, Ozgur oth
language English
format eBook
author2 Kisi, Ozgur
author_facet Kisi, Ozgur
author2_variant o k ok
author2_role Sonstige
title Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
spellingShingle Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
title_full Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
title_fullStr Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
title_full_unstemmed Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
title_auth Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
title_new Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
title_sort machine learning with metaheuristic algorithms for sustainable water resources management
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (238 p.)
isbn 3-0365-1720-0
3-0365-1719-7
illustrated Not Illustrated
work_keys_str_mv AT kisiozgur machinelearningwithmetaheuristicalgorithmsforsustainablewaterresourcesmanagement
status_str n
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is_hierarchy_title Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
author2_original_writing_str_mv noLinkedField
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