Author(s): H. K. Cigizoglu
Linked Author(s):
Keywords: Multi layer perceptron; Forecasting; ARMA model
Abstract: River flow forecasting and estimation provide basic information on a wide range of problems related to the design and operation of river systems. In this study the applicability of artificial neural networks (ANNs) to forecasting and estimation of the daily flow data belonging to the rivers in the East Mediterranean region of Turkey was investigated. Throughout the study a multi-layer perceptron network was used as the ANN structure. In the forecasting part of the study predictions one day and six days ahead were investigated. River flow estimation using data from nearby stations was the final application of the ANNs. From the graphs and statistics it is apparent that a neural network solution, in contrast to conventional models, can provide a tighter fit to the data.
Year: 2003