Research on CBA League Championship Based on LSTM Neural Network

摘要：

　　With the continuous development of the CBA league, the demand for team level analysis and evaluation is also increasing. This paper aims at the level of each teams history, combined with the actual situation of the domestic CBA league, gives the mathematical model and programming realization, making the calculation of the probability of winning, predicting the teams ranking, analyzing the teams level and providing reasonable suggestions for the team. may. This paper first uses the LSTM neural network to predict the score of each teams next game, and then uses the principal component analysis method to comprehensively consider the prediction score, the standard deviation and the mean of each teams historical data. Sort the 14 teams by these three indicators. Finally, a comprehensive evaluation of 14 team levels was obtained.

关键词： Monte Carlo tree computer simulation system clustering LSTM neural network principal component analysis

作者: Chenkai Ma Guozhang Zhao Wenxian Feng

作者单位: Jilin University, Changchun, China

会议类型: 国际会议

会议名称: 2019 6th International Conference on Machinery, Mechanics, Materials and Computer Engineering (MMMCE 2019)(2019 第六届机械、材料和计算机工程国际会议)

会议地点: 呼和浩特

会议语种:英文

页码: 814-819

在线出版日期: 2019-07-27（万方平台首次上网日期，不代表论文的发表时间）