【作者】 刘复岩； 王颖； 吕韶义；

【Author】 Liu Fuyan Wang Ying Lu Shaoyl(Dept. of Management Engineering, Hangzhou Electronic Institute, Hangzhou 310037)

【机构】 杭州电子工业学院；

【摘要】 本文以一个物料传送优化控制仿真系统为应用背景,讨论了KDD在优化控制中的应用,作者首先基于信息论理论对数据库中的原始数据进行予处理,去除与系统优化控制关系不大的那些属性列,从而使系统化简,然后利用遗传算法将样本聚类,最后得到简洁、可信度高的规则知识。仿真实验结果表明,利用该知识对应用系统进行优化控制是有效的。更多还原

【Abstract】 This paper discusses application of KDD in optimal control. An optimal control simulation system of material transfromation is used as application background. Preprocess is performed on the original data in database based on principles of information theory. As aresult, atttibute columns which are little relevant to the optimal control conditions of the system are deleted, and the system is reduced. Then genetic algorithm is used for sample clustering. At last, simple, reliable knowledge rules are oblained. Simulation experimental results demonstrate that these rules used for optimal controlling of the application system are effective.更多还原