Hybrid ANN–GA model for predicting turbidity and chlorophyll-a concentrations

Author:

Mulia Iyan E.,Tay Harold,Roopsekhar K.,Tkalich Pavel

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Environmental Chemistry,Civil and Structural Engineering,Environmental Engineering

Reference23 articles.

1. Correspondence among the correlation, RMSE, and heidke forecast verification measures; refinement of the heidke score;Barnston;Wea. Forecast.,1992

2. Dao, M.H., Doan, C.D., Tkalich, P., Liong, S.Y., 2006. Ocean hydrodinamics model with tidal forcing derived using an artificial neural network. OCEANs '06 Asia-Pacific IEEE, Singapore.

3. Biological engineering applications of feed forward neural networks designed and parameterized by genetic algorithms;Ferentinos;Neural Networks,2005

4. Diel turbidity fluctuations in streams in Gwinnett County, Georgia;Gillain,2005

5. Genetic Algorithms in Search, Optimization and Machine Learning;Goldberg,1989

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