摘要
在数据挖掘中,因为人工神经网络的结构较为复杂,训练时间长,而且理解起来具有一定的难度,在应用过程中经常会出现一些不能理解的模型。本文首先简单介绍了人工神经网络的基本原理和数据挖掘技术,对传统信息处理方法与人工神经网络进行了对比,最后总结了人工神经网络在数据挖掘中的应用。
In data mining,because the structure of artificial neural network is more complex,training time is long,and it has a certain degree of difficulty,in the course of application,some can not understand the model.In this paper,the basic principle of artificial neural network and data mining technology are briefly introduced,and the traditional information processing method and artificial neural network are compared. Finally,the application of artificial neural network in data mining is summarized.
出处
《电子测试》
2015年第11期41-42,共2页
Electronic Test
关键词
人工神经网络
数据挖掘
artificial neural network
data mining
