针对分布式智能答疑系统的特点,在对基于蚁群优化的分类规则发现算法研究的基础上,提出了分布式蚁群智能分类算法,并对该算法在分布式智能答疑系统中的应用进行了分析和测试.实践证明,该算法能有效地对分布式智能答疑系统的范例库进行数据挖掘,进一步提高智能答疑系统检索的效率和智能性,使分布式智能答疑系统的应用进入一个新台阶.
According to the characteristic of Distributed Intelligent Question Answer System(IQASD),the paper afford intelligent classify algorithm of distributing ant colony based on the study of ant colony optimization for classify rule discovery,analyzing and testing the algorithm's application in case base's data mining of IQASD.Practices prove that the algorithm can mining data of IQASD's case base in effect,make IQASD's searching more efficiency and intelligently,promote IQASD's application enter a new step.