Evaluation on E-government Websites Based on Rough Set and Genetic Neural Network Algorithm

被引：0

作者：

Luo, Dang ^{[1
]}

Shi, Yanan ^{[1
]}

机构：

[1] N China Univ Water Resources & Elect Power, Zhengzhou, Peoples R China

来源：

THIRD INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND COMPUTATIONAL TECHNOLOGY (ISCSCT 2010) | 2010年

关键词：

index system; rough set; genetic neural network algorithm; e-government website evaluation;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper researches on e-government website evaluation. After establishing the evaluation index system, this paper reduces the evaluation index system by rough set. Then, this paper introduces genetic algorithm which are optimized to BP neural network weights and thresholds, and establishes e-government website evaluation model based on genetic neural network algorithm. It is exemplified that the evaluation result is reasonable, and the evaluation model provides a new way of thinking for evaluation on e-government websites.

引用

页码：124 / 128

页数：5

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