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Indexed by:会议论文

Date of Publication:2010-08-10

Included Journals:Scopus、EI

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

Abstract: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.