Simulation of groundwater level through artificial intelligence system

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dc.contributor.authorMahmoud Khaki
dc.contributor.authorIsmail Yusoff
dc.contributor.authorNur Islami
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-20T04:01:12Z
dc.date.available2024-05-20T04:01:12Z
dc.date.issued2015
dc.description.abstractIndividually applying intelligent calculating tools, such as artificial neural network and fuzzy logic techniques, to a variety of problems is confirmed to be efficient. Recently, a growing interest in a combination of these methods has resulted in the neuro-fuzzy calculating technique. The application of the artificial neural network (ANN) and the adaptive neuro-fuzzy inference system (ANFIS) to groundwater level simulation, over 7 years from 2007 to 2013, in the Langat Basin, Malaysia, is presented in this paper
dc.identifier.citationKhaki, M., Yusoff, I., & Islami, N. (2015). Simulation of groundwater level through artificial intelligence system. Environmental Earth Sciences, 73, 8357-8367.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/1395
dc.language.isoen
dc.publisherSpringer
dc.publisher.alternativeEnvironmental Earth Sciences
dc.subjectANFIS
dc.subjectANN
dc.subjectGroundwater level
dc.subjectHydrological
dc.subjectModeling
dc.titleSimulation of groundwater level through artificial intelligence system
dc.typeJournal

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