关键词: 贝叶斯网络 Chi2变形 随机重启 贪心算法 线性回归

Abstract:

In this paper, the Bayesian network is apphed to learning and predicting the milk output of a farm. In the learning process,a variation of the Chi2 discretization method is used to pre-process the raw data, and the heuristic-rulesguided greedy algorithm with random restart is proposed to search the ne twork structure. Finally, the results yielded by the Bayesian network are con：pared to those by polynomial linear regression.

Key words: Bayesian network;Chi2 variation;random restart;greedy algorithm;linear regression