Reservoir Operation For Flood Control By BothFuzzy And Neural Networks System

Abstract

Recently, fuzzy set theory and neural networks system are advanced in many engineering field. The automatic reservoir operation for flood control is generally designed to lighten a troublesome workload for the administrator of dam in Japan. Therefore, in this study, the author’s apply two systems of fuzzy and neural networks to the reservoir operation for flood control. The author’s consider to put the control rules of reservoir operation, the information obtained by inquires to actual reservoir operator and the hydrological characteristics in the basin, into the reservoir operation of the dam supporting system. This system of reservoir operation for flood control is that neural networks is applied to the decision of the operational line and fuzzy set theory is applied to the decision of operational volume, that is, release discharge from reservoir of dam. It is obvious that application of reservoir operation gate for flood control by the use of both fuzzy set theory and neural networks system is effective. Transactions on Information and Communications Technologies vol 19, © 1997 WIT Press, www.witpress.com, ISSN 1743-3517