Fecal coliform predictive model using genetic algorithm-based radial basis function neural networks (GA-RBFNNs)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-019-04520-2.pdf
Reference23 articles.
1. Anmala J, Ouida WM, Albert JM, Grubbs S (2015) GIS and artificial neural network-based water quality model for a stream network in the Upper Green River Basin, Kentucky, USA. J Environ Eng 141:04014082-1–04014082-15. https://doi.org/10.1061/(asce)ee.1943-7870.0000801
2. ASCE Task Committee Paper I (2000) Artificial neural networks in hydrology: preliminary concepts. J Hydrol Eng 5(2):115–123
3. Aras E, Togan V, Berkun M (2007) River water quality management model using genetic algorithm. Environ Fluid Mech 7:439–450
4. Arora Y, Singhal A, Bansal A (2014) A study of applications of RBF network. Int J Comput Appl 94(2):17–20
5. Bagheri M, Mirbagheri SA, Bagheri Z, Kamarkhani AM (2015) Modeling and optimization of activated sludge bulking for a real wastewater treatment plant using hybrid artificial neural networks-genetic algorithm approach. Process Saf Environ Prot. https://doi.org/10.1016/j.psep.2015.02.008
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