Neural network models for river flow forecasting

Abstract

In this study, back propagation neural network (BPNN) models were used to forecast daily river flows in two basins, namely the Da Nhim and La Nga basins, in the Central Highlands of Vietnam for comparison with the Tank Model. It was found that the developed BPNN models provided satisfactory forecast discharges for both basins. Moreover, the discharges were also forecast from individual data of different stations within the La Nga Basin which were input directly and separately to the considered model. * To whom all correspondence should be addressed. th Received 13 November 1997; accepted in revised form 9 July 1998. 25 No.

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