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1 Ergebnisse
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Hybridization of artificial intelligence models with nature..:
Ehteram, Mohammad
;
Ferdowsi, Ahmad
;
Faramarzpour, Mahtab
...
Alexandria Engineering Journal, 1110-0168, 2021, 60:2, s. 2193-2208. , 2021
Link:
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-82231
RT Journal T1
Hybridization of artificial intelligence models with nature inspired optimization algorithms for lake water level prediction and uncertainty analysis
UL https://suche.suub.uni-bremen.de/peid=base-ftluleatu:oai:DiVA.org:ltu-82231&Exemplar=1&LAN=DE A1 Ehteram, Mohammad A1 Ferdowsi, Ahmad A1 Faramarzpour, Mahtab A1 Al-Janabi, Ahmed Mohammed Sami A1 Al-Ansari, Nadhir A1 Bokde, Neeraj Dhanraj A1 Yaseen, Zaher Mundher PB Luleå tekniska universitet, Geoteknologi; Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan 35131-19111, Iran; Department of Civil Engineering, Robat Karim Branch, Islamic Azad University, Tehran, Iran; Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia; Department of Engineering - Renewable Energy and Thermodynamics, Aarhus University, 8000, Denmark; Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam; Netherlands YR 2021 K1 Hybrid artificial intelligence K1 Urmia Lake K1 Water level prediction K1 Machine learning K1 Water resources K1 Geotechnical Engineering K1 Geoteknik JF Alexandria Engineering Journal, 1110-0168, 2021, 60:2, s. 2193-2208 LK http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-82231 DO http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-82231 SF ELIB - SuUB Bremen
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