Research of the Evaluation of the University Students' Network Moral Anomie Based on the BP Neural Network

摘要

Predicting the university students' network moral anomie is of great significance for the prevention and reduction of their network immoral behavior. Based on the theory of planned behavior and existing related researches, this paper constructed the threelayered evaluation index system of the university students' network moral anomie and predicting model of the corresponding two-level back-propagation neural network. After training the BP neural network with the measured data (N = 2300)，the results showed that using two-level BP neural network to predict the university students' network moral anomie can be a satisfactory accuracy.