An Public Opinion Trend Prediction Method Based on Neural Network Algorithm

被引：0

作者：

Yin, Fulian ^{[1
]}

Zhang, Beibei ^{[1
]}

Huang, Bochen ^{[1
]}

Zhang, Lulin ^{[1
]}

机构：

[1] Commun Univ China, Sch Informat Engn, Beijing, Peoples R China

来源：

2017 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (ICCIA) | 2017年

关键词：

BP neural network; Levenberg-Marquardt; network public opinion; trend prediction;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To overcome the unsatisfying trend prediction results of network public opinion in the present research, this paper put forward a method of Levenberg-Marquardt-based Back-Propagation (LM-BP) neural network algorithm to predict the network public opinion trend. Taking the micro-blog as the research object, the effectiveness and reliability of the method are proved with some real data in this article. The experimental result shows that LM-BP neural network algorithm performs more accurately and faster compared with standard BP algorithm.

引用

页码：440 / 444

页数：5

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