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个人信息Personal Information
副教授
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:水利工程系
电子邮箱:ghliang@dlut.edu.cn
A fuzzy-inference based neural network model and its application in real-time reservoir flood operation decision-making
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论文类型:会议论文
发表时间:2010-08-10
收录刊物:Scopus、EI
卷号:1
页面范围:37-40
关键字:Flood disaster; Neural network model; New model; Operation decisions; Real time, Decision making; Fuzzy inference; Fuzzy sets, Neural networks
摘要: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.