Evaluation on E-government Websites Based on Rough Set and Genetic Neural Network Algorithm
نویسندگان
چکیده
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 egovernment websites.
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