Case study of rainfall-runoff dynamic model using Elman recurrent artificial neural networks
Guohua Liu · Journal of Hydroelectric Engineering · 2004
A dynamic rainfall-runoff model was established in consideration of the characteristic combination of Elman recurrent artificial neural networks and the hydrology system.In this paper,the difficult problem of describing the forepart state of hydrology system by neural networks mode was solved by relatively simple method.Case study and analysis of the rainfall-runoff process of Shaxi basin in Fujian province is expressed that the dynamic process model in consideration of combination with Elman neural networks and the hydrology system is one of the flexible,extendable model with high accuracy of forecast,it assumes the bright aspect of this mode application.