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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Research on prediction of internet public opinion based on grey system theory and fuzzy neural network
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Research on prediction of internet public opinion based on grey system theory and fuzzy neural network

机译:基于灰色系统理论和模糊神经网络的互联网舆论预测研究

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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.
机译:在智慧城市环境下,网络舆情管理难度更大,因此构建了基于灰色系统理论和模糊神经网络的组合预测模型。首先,探讨了智慧城市下的网络舆情特征。其次,研究了灰色系统理论的数学模型。分析了模糊神经网络的基本结构和数学模型,设计了模糊神经网络的训练算法。最后,对网络舆情进行了仿真分析,仿真结果表明,新方法能有效提高网络舆情预测的正确性,提高网络舆情控制水平。

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