Flood hydrograph modeling using artificial neural network and adaptive neuro-fuzzy inference system based on rainfall components
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
http://link.springer.com/content/pdf/10.1007/s12517-021-06683-6.pdf
Reference32 articles.
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4. Araghinejad S (2014) Artificial neural networks. In: Data-driven modeling: using MATLAB in water resources and environmental engineering. Springer, pp 139–194
5. Bhatia N, Sharma L, Srivastava S et al (2013) Streamflow decomposition based integrated ANN model. Open J Mod Hydrol 03:15–19. https://doi.org/10.4236/ojmh.2013.31003
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