Rainfall Runoff Modelling Using Generalized Neural Network and Radial Basis Network

Authors

  • C Chandre Gowda NITK, surathkal
  • Mayya S. G. NITK, Surathkal

Keywords:

Generalized regression neural network, Radial basis neural network, Runoff Modelling

Abstract

Rainfall runoff study has a wide scope in water resource management. To provide a reliable prediction model is of paramount importance. Runoff prediction is carried out using generalized regression neural network and radial basis neural network. Daily Rainfall runoff model was developed for Nethravathi river basin located at the west coast of Karnataka, India. The comparative study showed Radial basis neural network performed better than generalized neural network during its evaluation by performance indicators

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Author Biographies

C Chandre Gowda, NITK, surathkal

Applied mechanics and hydraulics

Mayya S. G., NITK, Surathkal

Professor, Applied Mechanics and Hydraulics

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Published

29.12.2014

How to Cite

Gowda, C. C., & S. G., M. (2014). Rainfall Runoff Modelling Using Generalized Neural Network and Radial Basis Network. International Journal of Intelligent Systems and Applications in Engineering, 2(4), 76–79. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/111

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Section

Research Article