针对数据挖掘中的分类问题，本文提出了一种利用神经网络抽取分类规则都方法。为了易于抽取规则，采用遗传算法对神经网络的结构进行了进化。实际运行结果表明了该方法的有效性。-Classification is an inportant problem in data mining.This paper presents an approach to discover classification rules by using neural networks.Genetic algorithms is u

数据挖掘，聚类，遗传算法，k-means算法，基于遗传算法的k-means聚类方法。-Data mining, clustering, genetic algorithm, k-means algorithm, based on genetic algorithm k-means clustering method.

Ants performing 3 actions: searching ore , mining ore , returning ore basic Artificial Neurological Network working the learning proces to pick their state throu Genetic Programming-Ants performing 3 actions: searching ore , mining ore , returning

一种基于遗传算法的关联规则挖掘算法，将遗传算法运用到关联规则中，介绍了遗传算法的工作流程-An algorithm for mining association rules based on genetic algorithm, the genetic algorithm is applied to the association rules, introduces the genetic algorithm work flow