Abstract: This paper presents a new approach to river flow prediction using a fuzzy neural network (FNN) model. An FNN combines the learning ability of artificial neural networks with the merits of fuzzy logic. The FNN model is found ...

Abstract: Reservoir operating policies are derived to improve the operation and efficient management of available water for the Aliyar Dam in Tamil Nadu, India, using a dynamic programming (DP) model, a stochastic dynamic programming ...

Abstract: For optimal multireservoir operation, a dynamic programming-based neural network model is developed in this study. In the suggested model, multireservoir operating rules are derived using a feedforward neural network from ...

Abstract: A new index called a modified relative strength effect (RSE) is developed for determining the influence of an input in an artificial neural network (ANN) model. This modified RSE, which is an improvement over the usual ...

Abstract: The present study aims at the application of the hybrid model, which consists of artificial neural network and fuzzy logic in the reservoir operating policy during critical periods. The proposed hybrid model [fuzzy neural ...

Abstract: One of the daunting tasks of a neural network modeler is prescribing an appropriate training termination criterion, a criterion that avoids underfitting or overfitting the underlying functional relationship between input ...

Abstract: Inflows to reservoir systems are affected by climatic changes. In the past, regional inflow trend analyses were conducted using statistical approaches. This research made use of an artificial intelligence technique called ...