Comparison of the performance of decision tree (DT) algorithms and extreme learning machine (ELM) model in the prediction of water quality of the Upper Green River watershed

Comparison of the performance of decision tree (DT) algorithms and extreme learning machine (ELM) model in the prediction of water quality of the Upper Green River watershed

© 2021 Water Environment Federation.

Bibliographische Detailangaben
Veröffentlicht in:Water environment research : a research publication of the Water Environment Federation. - 1998. - 93(2021), 11 vom: 15. Nov., Seite 2360-2373
1. Verfasser: Anmala, Jagadeesh (VerfasserIn)
Weitere Verfasser: Turuganti, Venkateswarlu
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:Water environment research : a research publication of the Water Environment Federation
Schlagworte:Comparative Study Journal Article classification and regression tree (CART) conductivity extreme learning machine (ELM) fecal coliform land use factors multivariate adaptive regression splines (MARS) pH random forest (RF) mehr... turbidity water quality
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