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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| Format: | Article |
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Taylor & Francis
2016
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