Prophecy of Runoff in a River Basin Using Various Neural Networks
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Publisher
Springer Singapore
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http://link.springer.com/content/pdf/10.1007/978-981-15-5397-4_72
Reference17 articles.
1. Remesan R, Shamim MA, Han D, Mathew J (2009) Runoff prediction using an integrated hybrid modelling scheme. J Hydrol 372:48–60
2. Moghaddamnia A, Gousheh G, Piri J, Amin S, Han D (2009) Evaporation estimation using artificial neural network and adaptive neuro-fuzzy inference system techniques. Adv Water Resour 32:88–97
3. Samantaray S, Sahoo A (2020a) Appraisal of runoff through BPNN, RNN, and RBFN in Tentulikhunti Watershed: a case study. In: Satapathy S, Bhateja V, Nguyen B, Nguyen N, Le DN (eds) Frontiers in intelligent computing: theory and applications. Advances in intelligent systems and computing, vol 1014. Springer, Singapore
4. Samantaray S, Sahoo A (2020b) Estimation of runoff through BPNN and SVM in Agalpur Watershed. In: Satapathy S, Bhateja V, Nguyen B, Nguyen N, Le DN (eds) Frontiers in intelligent computing: theory and applications. Advances in intelligent systems and computing, vol 1014. Springer, Singapore
5. Samantaray S, Sahoo A (2020c) Assessment of sediment concentration through RBNN and SVM-FFA in Arid Watershed, India. In: Satapathy S, Bhateja V, Mohanty J, Udgata S (eds) Smart intelligent computing and applications. Smart innovation, systems and technologies, vol 159. Springer, Singapore
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