Artificial neural network for water quality assessment and land use pattern recognition in Kinta River catchment

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Artificial neural network for water quality assessment and land use pattern recognition in Kinta River catchment

Kinta River (the State of Perak, Malaysia) was classified during the period 1997-2006 with an average class III water quality (WQ) and a water quality index (WQI) in the range of 51.9–76.5. Frequency analysis of the water quality class (WQC) revealed that over this time period Kinta River water assu...

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Bibliographic Details
Main Author:	Gazzaz, Nabeel Mohammad
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Neural networks (Computer science) Land use Water quality - Standards
Online Access:	http://psasir.upm.edu.my/id/eprint/67265/ http://psasir.upm.edu.my/id/eprint/67265/1/FPAS%202012%2023%20IR.pdf

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