Research on Prediction of News Public Opinion Guiding Power Based on Neural Network

Abstract

The development of big data technology and the popularity of we-media platforms make the prediction of news public opinion more complicated, which means that the complexity and dynamic nature of news public opinion require higher accuracy of prediction. With the rapid popularization of we media technology, traditional single-model algorithm is difficult to effectively predict network public opinion under the current background. Therefore, this paper proposes an algorithm based IGA-RBF neural network to deal with the complicated news public opinion prediction. Firstly, the ARMA (autoregressive moving average model) prediction model is constructed and the BRF neural network is combined. Then IGA is introduced to optimize BRF neural network, and the column vector of output matrix of hidden layer is optimized globally. The algorithm uses k-means clustering to select parameters in RBF network. The experimental results demonstrate that the model algorithm makes up for the shortcomings of the single prediction algorithm, improves the accuracy of prediction, and has better prediction results of public opinion trends.

Prediction of network public opinion based on bald eagle algorithm optimized radial basis function neural network

“…Scholars have proposed various improved radial basis function neural networks and used them in network public opinion. For example, Chen et al (2017) used the simulated annealing optimized particle swarm algorithm to optimize the RBF neural network and constructed the SAPSO_RBF network public opinion prediction model and it has good superiority and stability in predictive performance. Mi (2018) proposed a combined forecasting model that combines a weighted first-order forecasting model and RBF neural network model.…”

Retracted: Research on Prediction of News Public Opinion Guiding Power Based on Neural Network

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”