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

• 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

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...