Monthly rainfall-runoff modelling using artificial neural networks

Author： Machado Fernando Mine Miriam Kaviski Eloy Fill Heinz

ISSN： 0262-6667

Source： Hydrological Sciences Journal, Vol.56, Iss.3, 2011-04, pp. : 349-361

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Runoff Modelling Through Back Propagation Artificial Neural Network With Variable Rainfall-Runoff Data

By Agarwal Avinash

Water Resources Management, Vol. 18, Iss. 3, 2004-06 ,pp. : 285-300

Springer Publishing Company

Access to resources Recommend Favorite

Modeling of the daily rainfall-runoff relationship with artificial neural network

By Rajurkar M.P. Kothyari U.C. Chaube U.C.

Journal of Hydrology, Vol. 285, Iss. 1, 2004-01 ,pp. : 96-113

Elsevier

Access to resources Recommend Favorite

A Genetic Programming Approach to Rainfall-Runoff Modelling

By Savic a.A. Walters G.A. Davidson J.W.

Water Resources Management, Vol. 13, Iss. 3, 1999-06 ,pp. : 219-231

Springer Publishing Company

Access to resources Recommend Favorite

Rainfall–runoff modelling of railway embankment steep slopes

By Sajjan Asim Krishna Gyasi-Agyei Yeboah Sharma Raj Hari

Hydrological Sciences Journal, Vol. 58, Iss. 5, 2013-07 ,pp. : 1162-1176

Taylor & Francis Ltd

Access to resources Recommend Favorite

Geomorphology Based Semi-Distributed Approach for Modelling Rainfall-Runoff Process

By Bhattacharjya Rajib

Water Resources Management, Vol. 27, Iss. 2, 2013-01 ,pp. : 567-579

Springer Publishing Company

Access to resources Recommend Favorite