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

Issue title: Special Section: Recent Advances in Machine Learning and Soft Computing

Guest editors: Srikanta Patnaik

Article type: Research Article

Authors: He, H.^{; *}

Affiliations: School of Network Communication, University of Zhejiang Yuexiu Foreign Languages, Zhejiang, China

Correspondence: [*] Corresponding author. H. He School of Network Communication, University of Zhejiang Yuexiu Foreign Languages, No.428 Kuaiji Road, Yuecheng District of Shaoxing, Zhejiang, China. E-mail: hhx1176@163.com.

Abstract: 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.

Keywords: Prediction, internet public opinion, grey system theory, fuzzy neural network

DOI: 10.3233/JIFS-169591

Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 325-332, 2018