The Model of Power Plant Selection Based on Improved Fuzzy Neural Network

被引：0
|
作者：
Li, Yanmei [1 ]
Sun, Wei [1 ]
机构：
[1] N China Elect Power Univ, Sch Business Adm, Baoding, Peoples R China
来源：
2008 INTERNATIONAL CONFERENCE ON RISK MANAGEMENT AND ENGINEERING MANAGEMENT, ICRMEM 2008, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICRMEM.2008.43
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The paper adopts rough set reduction algorithm to reduce the influence factors of power plant selection and eliminate the uncorrelated attribution, through which we can obtain typical samples. After this, adopting fuzzy method to calculate the membership degree of the typical samples, which are looked on as the input of BP Neural Network and the expert values are as the expected output to train the network. Through this way the training speed and accuracy will be improved In this way, we will obtain the network output namely the evaluation result of the case when we calculate using the trained network. According to the result, we can evaluate and make a decision for power plant selection.
引用
收藏
页码：281 / 286
页数：6
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