Rainfall -Runoff Modelling using Multi Layer Perceptron Technique - A Case Study of the Upper Kharun Catchment in Chhattisgarh

Jitendra Sinha; R. K. Sahu; Avinash Agarwal; A. K. Pali; B. L. Sinha

doi:10.52151/jae2013502.1512

Authors

Jitendra Sinha Soil & Water Engineering, FAE, IGKV, Raipur Author
R. K. Sahu Faculty of Agricultural Engineering, IGKV, Raipur Author
Avinash Agarwal National Institute of Hydrology, Roorkee Author
A. K. Pali Soil & Water Engineering, FAE, IGKV, Raipur Author
B. L. Sinha Soil & Water Engineering, FAE, IGKV, Raipur Author

DOI:

https://doi.org/10.52151/jae2013502.1512

Keywords:

Multi layer perceptron, artificial neural networks, rainfall-runoff models, hidden layers, model training

Abstract

Modelling rainfall-runoff transformation is essential for several hydrological and water management studies. A rainfall-runoff model was developed for the Upper Kharun catchment (2511 km2) in Chhatisgarh state, based on

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