摘要
基于遗传算法提出了一种新型的机器学习方法,它利用遗传算法的全局寻优手段,为解决知识获取这一瓶颈问题另辟捷径。论述了该方法的原理及其实现过程,并且给出了网络故障诊断应用实例,证明了它的有效性。
A new method of machine learning based on genetic algorithm is described in this paper. It takes advantage of the global optimization ability of the genetic algorithm, and makes learning from examples more efficiently and exactly. It is used to the knowledge acquisition for the fault diagnosis of computer networks. Experiments reveal that it runs validly and effectively.
出处
《计算机工程》
CAS
CSCD
北大核心
2001年第10期53-54,104,共3页
Computer Engineering
基金
国家"智能网络管理系统"项目863