Prediction Of Confucianism Flourishing Period Based On AHP And BP Neural Network

Confucianism is the dominant ideology of Chinese traditional culture,which has played an important role in the history and has instituted the core value of the Chinese national spirit.In recent years,with the improvement of China’s comprehensive national strength,the Chinese people’s national cultural identity has become increasingly strong.There is a trend for more study and wide dissemination of Confucianism,several advocates even appeal to the "Confucian revival".The study of Confucianism is not only a pure academic research,but also a kind of need for cultivation of individuals and social organization construction.For the various relations and contradictions in the society,many ideas of Confucianism can be used for reference.The thesis is to further explore the law of development of Confucianism,the factors which have influenced the development of Confucianism and the reasons why Confucianism reached its peak in the history of a certain period of time.Furthermore,a question arises in the paper: In the future,how can Confucianism reach its peak?The arguments mentioned above are quite interesting and important.In this paper,I study the motive force of the development of Confucianism in China based on the analytic hierarchy process(AHP)and BP neural network,that is,the various factors that affect the development of Confucianism.Firstly I try to find out the number of factors which influence the development of Confucianism,then establish the hierarchical structure of these factors in the method of AHP,by comparing the relative importance of factors at the same level,finding the degree of each factor on the development of Confucianism,and then establish the sample data of the BP neural network.According to the sample data of Confucianism in various stages of development,the BP network is established in the way of training of neural network and various factors at present phase are statistically determined and then applied into the neural network model to obtain the dynamic score of influencing factors of Confucianism to predict the approximate time when Confucianism will reach the next peak period.The paper aims at providing a quantitative reference model for the development of Confucianism.