Research on prediction of internet public opinion based on grey system theory and fuzzy neural network

被引：23
|
作者：
He, H. [1 ]
机构：
[1] Univ Zhejiang Yuexiu Foreign Languages, Sch Network Commun, 428 Kuaiji Rd, Shaoxing, Zhejiang, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2018年 / 35卷 / 01期
关键词：
Prediction; internet public opinion; grey system theory; fuzzy neural network;
D O I：
10.3233/JIFS-169591
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Under smart city environment, the internet public opinion management is more difficult, therefore the combined prediction model based on grey system theory and fuzzy neural network is constructed. Firstly, the internet public opinion characteristics under smart city is discussed. Secondly, the mathematical model of the grey system theory is studied. the basic structure and mathematical model of fuzzy neural network are analyzed, and then the training algorithm is designed. Finally, simulation analysis of internet public opinion is carried out, simulation results show that the new method can improve prediction correctness of internet public opinion effectively, and the internet public opinion controlling level can be improved.
引用
收藏
页码：325 / 332
页数：8
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