熵理论和贝叶斯分类预测模型在升学计划影响因素分析中的应用  

THE APPLICATION OF THE ENTROPY THEORY AND THE MODE OF BAYES CLASSIFICATION SPECULATION

作　　者：王凌云[1] 

机构地区：[1]山东工业职业学院基础部数学教研室,山东淄博256414

出　　处：《山东师范大学学报（自然科学版）》2010年第2期29-31,共3页Journal of Shandong Normal University(Natural Science)

摘　　要：通过对一组训练数据的分析，利用熵理论得出显著影响升学计划的因素，依次为家长鼓励（PE），智商（IQ），家庭经济状况（SES）．又通过交互信息量研究PE，SES对IQ的影响，得出结论：家长的鼓励对智商的发展有显著的正面影响；家长的正面鼓励与积极向上的引导，有助于孩子智商的发展．最后利用贝叶斯分类模型进行预测，得到在家庭经济状况和智商的背后还有一个隐藏变量即家长的素质在起作用．Through the analysis of a group of training data and with the application of entropy theory, the elements with remarkable influence on the plan to enter a higher school, including PE, IQ, SES, are reached. By IQ impacting on PE and SES with the research method of the interactive information, the stimulation and guidance by parents are speculate, significantly helpful for children＇s IQ development. the conclusion is drawn that despite family economic parents＇ qualification also plays a substantial role. Finally, in the use of Bayes classification to situation and IQ, a concealed variable named

关 键 词：最大熵 交互信息量 贝叶斯分类 

分 类 号：O29[理学—应用数学]