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

Author： Rajurkar M.P. Kothyari U.C. Chaube U.C.

Publisher： Elsevier

ISSN： 0022-1694

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

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

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

Monthly rainfall-runoff modelling using artificial neural networks

By Machado Fernando Mine Miriam Kaviski Eloy Fill Heinz

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

Taylor & Francis Ltd

Access to resources Recommend Favorite

Rainfall-Runoff Modeling: Comparison of Two Approaches with Different Data Requirements

By Bhadra A.

Water Resources Management, Vol. 24, Iss. 1, 2010-01 ,pp. : 37-62

Springer Publishing Company

Access to resources Recommend Favorite

Development and Integration of Sub-hourly Rainfall–Runoff Modeling Capability Within a Watershed Model

By Jeong Jaehak

Water Resources Management, Vol. 24, Iss. 15, 2010-12 ,pp. : 4505-4527

Springer Publishing Company

Access to resources Recommend Favorite

Artificial Neural Network (ANN) Based Modeling for Karstic Groundwater Level Simulation

By Trichakis Ioannis

Water Resources Management, Vol. 25, Iss. 4, 2011-03 ,pp. : 1143-1152

Springer Publishing Company

Access to resources Recommend Favorite