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Abstract

Evaluation and predication of ideological and political management performance based on RBF neural network and discriminant technology

Author(s): Wang Weiyu

To study the internal law and development trend of governments’ ideological and political management and operation as well as to predict the level of local governments’ ideological and political management performance, RBF neural network and discriminant technology were combined in this paper. Firstly, the evaluation index system for evaluating the performance of ideological and political management and operation was built. Secondly, discriminant analysis was carried out by means of discriminant technology. Finally, a prediction model for ideological and political management was built by using RBF neural network. 11 area samples in Chinese east-central-west regions were used as the study objects to predict and evaluate ideological and political management performance.


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