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The Indicator System Based on BP Neural Network Model for Net-mediated Public Opinion on Unexpected Emergency 被引量:2
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作者 张一文 齐佳音 +1 位作者 方滨兴 李欲晓 《China Communications》 SCIE CSCD 2011年第2期42-51,共10页
Because unexpected emergency owns the characteristics of explosive,uncertain evolution direction and group diffusion,more and more researchers concentrate on and try to control it. In addition,considering the force of... Because unexpected emergency owns the characteristics of explosive,uncertain evolution direction and group diffusion,more and more researchers concentrate on and try to control it. In addition,considering the force of network,the information of the unexpected emergency will be spread and enlarged rapidly on internet. It is a new viewpoint using the indicator system to estimate the heat degree of net-mediated public opinion on unexpected emergency,which can reveal the underlying reasons about the formation of the heat degree. Moreover,we use BP(Back Propagation) neural network method instead of traditional subjective weight assignment to calculate the weights of the indicators which can make evaluation results more accurate and objective. 展开更多
关键词 net-mediated public opinion unexpected emergency indicator system BP (back propagation)
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