01615oam 2200409 450 991071181690332120190523155822.0(CKB)5470000002487916(OCoLC)1099535825(EXLCZ)99547000000248791620190430d2016 ua 0engur|n|||||||||txtrdacontentcrdamediacrrdacarrierGroundwater contaminant plume maps and volumes, 100-K and 100-N Areas, Hanford Site, Washington /by Kenneth H. Johnson ; prepared in cooperation with the U.S. Fish and Wildlife Service and the Hanford Natural Resource Trustee CouncilReston, Virginia :U.S. Department of the Interior, Geological Survey,2016.1 online resource (vi, 64 pages) color illustrations, color mapsOpen-file report, 2331-1258 ;2016-1161Includes bibliographical references (pages 61-63).GroundwaterPollutionWashington (State)Hanford SitePlumes (Fluid dynamics)GroundwaterPollutionPlumes (Fluid dynamics)Johnson Kenneth H.109934Geological Survey (U.S.),U.S. Fish and Wildlife Service.Hanford Natural Resource Trustee Council (U.S.)COPCOPOCLCOGPOBOOK9910711816903321Groundwater contaminant plume maps and volumes, 100-K and 100-N Areas, Hanford Site, Washington3446959UNINA02514nam0 22005413i 450 VAN0027489520250903034741.615N978303083213120240415d2021 |0itac50 baengCH|||| |||||Machine Learning Control by Symbolic RegressionAskhat Diveev, Elizaveta ShmalkoChamSpringer2021ix, 155 p.ill.24 cm62J02General nonlinear regression [MSC 2020]VANC021211MF65GxxError analysis and interval analysis [MSC 2020]VANC023264MF68-XXComputer science [MSC 2020]VANC019670MF68T05Learning and adaptive systems in artificial intelligence [MSC 2020]VANC023390MF68T20Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) [MSC 2020]VANC026578MF68VxxComputer science support for mathematical research and practice [MSC 2020]VANC037832MF68W30Symbolic computation and algebraic computation [MSC 2020]VANC019771MF93C40Adaptive control/observation systems [MSC 2020]VANC035157MFAnalytic programmingKW:KControl synthesisKW:KGenetic AlgorithmsKW:KGrammatical evolutionKW:KIdentificationsKW:KMachine learningKW:KMobile robot controlKW:KMulticriterial function searchKW:KNetwork operatorKW:KOptimal ControlKW:KSymbolic regressionKW:KSynergetic controlKW:KTraining setKW:KCHChamVANL001889DiveevAskhatVANV2273571072835ShmalkoElizavetaVANV2273591734783Springer <editore>VANV108073650ITSOL20250905RICAhttps://doi.org/10.1007/978-3-030-83213-1E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00274895BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-book 8298 08eMF8298 20240430 Machine Learning Control by Symbolic Regression4153308UNICAMPANIA