A fuzzy-inference based neural network model and its application in real-time reservoir flood operation decision-making
Release Time:2019-03-11 Hits:
Indexed by:Conference Paper
Date of Publication:2010-08-10
Included Journals:EI、Scopus
Volume:1
Page Number:37-40
Key Words:Flood disaster; Neural network model; New model; Operation decisions; Real time, Decision making; Fuzzy inference; Fuzzy sets, Neural networks
Summary:To eliminate flood disaster, which happened more and more frequently in China, a fuzzy-inference based neural network model is developed. This model can solve the problems of systematic difficulty, inefficiency, shortcomings of unable to self-study and inadequate in traditional method. Firstly, the detailed steps of forming the new model were given. Secondly, a case study was used to demonstrate how the model works. The application shows the fuzzy-inference based neural network model developed in this paper is more adaptable to real time reservoir flood operation decision-making. ?2010 IEEE.