Rainfall-Runoff Modeling Using Artificial Neural Network Technique: A Case Study of Semi-Arid Region of Rajasthan
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3994-3_14
Reference11 articles.
1. Asadi H, Shahedi K, Jarihani B, Sidle RC (2019) Rainfall-runoff modelling using hydrological connectivity index and artificial neural network approach. Water (switzerland) 11(212):1–20. https://doi.org/10.3390/w11020212
2. Biswal S, Naik B, Khatua KK (2022) Rainfall–runoff studies of Brahmani River Basin using ANN. In: Jha R, Singh VP, Singh V, Roy LB, Thendiyath R (eds) Hydrological modeling. Water science and technology library, vol 109. Springer, Cham, pp 411–421. https://doi.org/10.1007/978-3-030-81358-1_31
3. Kumar ARS, Sudheer KP, Jain SK, Agarwal PK (2005) Rainfall-runoff modelling using artificial neural networks: comparison of network types. Hydrol Process 19(6):1277–1291. https://doi.org/10.1002/hyp.5581
4. Obasi AA, Ogbu KN, Orakwe CL, Ahaneku IE (2020) Rainfall-river discharge modelling for flood forecasting using Artificial Neural Network (ANN). J Water Land Dev 44(I–III):98–105. https://doi.org/10.24425/jwld.2019.127050
5. Poonia V, Tiwari HL (2020) Rainfall-runoff modeling for the Hoshangabad Basin of Narmada River using artificial neural network. Arab J Geosci 13(944):1–10. https://doi.org/10.1007/s12517-020-05930-6
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