Fuzzy neural network modelling for hydrological studies

Abstract

Water resources related studies involve variables which are highly random and uncertain in nature Most hydrological variables exhibit a high degree of temporal and spatial variability These studies are very essential to the mankind for providing a warning of the extreme flood or drought conditions and help to optimize the operation of systems like reservoirs and power plants etc For better hydrological design we need proper modelling of the system using these variables Many approaches were