基于遗传算法构建大学数学课程贝叶斯网  

Bayesian Network Construction of College Mathematics Courses Based on Genetic Algorithms

作　　者：郝立丽[1] 赖民[1] 郝立柱[1] 

机构地区：[1]吉林大学数学研究所,长春130012

出　　处：《吉林大学学报（理学版）》2008年第5期880-884,共5页Journal of Jilin University:Science Edition

基　　金：国家自然科学基金(批准号:10571073)

摘　　要：基于某高校统计学院自1984-2005年间学生所学10门课程的成绩，利用K2算法并结合自适应遗传算法构建了课程贝叶斯网。用学生成绩样本的信息将有向无环图与概率理论有机地结合，直观地揭示了各门课程之间的依赖关系，通过条件概率表体现了依赖关系的强弱程度，不仅对学院不同学期课程的设置有一定的参考价值，而且对学生进一步学习而选择适合自己的研究方向提供权衡依据。We utilized the K2 algorithms and adaptive genetic algorithms to construct Bayesian network of college mathematics courses on the basis of 1984-2005＇s 10 courses scores of school of statistics from a certain university. As far as the construction is concerned, it uses the information in the sample of students＇ scores, combines Directed Acyclic Graph （DAG） with the theory of probability organically, intuitively reveals the dependencies of the courses and incarnates how strong the dependencies are according to conditional probability table. Not only dose it offer the reference value on courses setting in different terms, but also it provides evidence for students＇ advanced studies and option of research direction which is the most suitable.

关 键 词：贝叶斯网 自适应遗传算法 K2算法 

分 类 号：O235[理学—运筹学与控制论]