Monthly chlorophyll-a prediction using neuro-genetic algorithm for water quality management in Lakes

A genetic algorithm (GA) was combined with artificial neural networks (ANN), designated as neuro-genetic algorithm (NGA) in this study, to determine the effective number of nodes and optimal activated functions (FAs) in an ANN structure. Developed NGA was applied to predict Chlorophyll-a (Chl-a) con...

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Bibliographic Details

Main Authors:	Lee, G., Bae, J., Lee, S., Jang, M., Park, H.
Format:	Article
Published:	Taylor & Francis 2016
Subjects:	TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering
Online Access:	http://eprints.um.edu.my/17757/ http://dx.doi.org/10.1080/19443994.2016.1190107
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