LEADER 03396nam 2201033z- 450 001 9910557448103321 005 20231214133032.0 035 $a(CKB)5400000000043259 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76675 035 $a(EXLCZ)995400000000043259 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (238 p.) 311 $a3-0365-1720-0 311 $a3-0365-1719-7 330 $aThe 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. 606 $aResearch & information: general$2bicssc 610 $agroundwater 610 $aartificial intelligence 610 $ahydrologic model 610 $agroundwater level prediction 610 $amachine learning 610 $aprincipal component analysis 610 $aspatiotemporal variation 610 $auncertainty analysis 610 $ahydroinformatics 610 $asupport vector machine 610 $abig data 610 $aartificial neural network 610 $anitrogen compound 610 $anitrogen prediction 610 $aprediction models 610 $aneural network 610 $anon-linear modeling 610 $aPACF 610 $aWANN 610 $aSVM-LF 610 $aSVM-RF 610 $aGovindpur 610 $astreamflow forecasting 610 $aBayesian model averaging 610 $amultivariate adaptive regression spline 610 $aM5 model tree 610 $aKernel extreme learning machines 610 $aSouth Korea 610 $auncertainty 610 $asustainability 610 $aprediction intervals 610 $aungauged basin 610 $astreamflow simulation 610 $asatellite precipitation 610 $aatmospheric reanalysis 610 $aensemble modeling 610 $aadditive regression 610 $abagging 610 $adagging 610 $arandom subspace 610 $arotation forest 610 $aflood routing 610 $aMuskingum method 610 $aextension principle 610 $acalibration 610 $afuzzy sets and systems 610 $aparticle swarm optimization 610 $aEEFlux 610 $airrigation performance 610 $aCWP 610 $awater conservation 610 $aNDVI 610 $awater resources 610 $aDaymet V3 610 $aGoogle Earth Engine 610 $aimproved extreme learning machine (IELM) 610 $asensitivity analysis 610 $ashortwave radiation flux density 610 $asustainable development 615 7$aResearch & information: general 700 $aKisi$b Ozgur$4edt$01323739 702 $aKisi$b Ozgur$4oth 906 $aBOOK 912 $a9910557448103321 996 $aMachine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management$93035796 997 $aUNINA