Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors

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11_Artificial_neural_network_modeling_of_the_water_quality_index_for_Kinta_River_Malaysia_using_water_quality_variables_as_predictors.pdf (1.17 MB)

Date

2012

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Abstract

This article describes design and application of feed-forward, fully-connected, three-layer perceptron neural network model for computing the water quality index (WQI)1 for Kinta River (Malaysia).

Description

Keywords

Surface water, Kinta River, Water quality index, Artificial neural network, Three-layer perceptron, Quickprop algorithm

Citation

Gazzaz, N. M., Yusoff, M. K., Aris, A. Z., Juahir, H., & Ramli, M. F. (2012). Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors. Marine pollution bulletin, 64(11), 2409-2420.

URI

https://repoemc.ukm.my/handle/123456789/1612

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River