Application of Adaptive Neuro-Fuzzy Inference System and Salp Swarm Algorithm for Suspended Sediment Load Prediction
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Springer Nature Singapore
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https://link.springer.com/content/pdf/10.1007/978-981-19-4863-3_32
Reference24 articles.
1. Mohanta NR, Biswal P, Kumari SS, Samantaray S, Sahoo A (2021) Estimation of sediment load using adaptive neuro-fuzzy inference system at Indus River Basin, India. In: Intelligent data engineering and analytics. Springer, Singapore, pp 427–434
2. Samantaray S, Ghose DK (2020) Assessment of suspended sediment load with neural networks in arid watershed. J Inst Eng (India) Ser A 1–10
3. Samantaray S, Sahoo A, Ghose DK (2020) Infiltration loss affects toward groundwater fluctuation through CANFIS in arid watershed: a case study. In: Smart intelligent computing and applications. Springer, Singapore, pp 781–789
4. Agnihotri A, Sahoo A, Diwakar MK (2021) Flood prediction using hybrid ANFIS-ACO model: a case study. In: Inventive computation and information technologies: proceedings of ICICIT 2021, p 169
5. Sahoo A, Samantaray S, Paul S (2021) Efficacy of ANFIS-GOA technique in flood prediction: a case study of Mahanadi river basin in India. H2Open J 4(1):137–156
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