人工神经网络在数据挖掘中的应用

Application of artificial neural network in date mining

在分析了现行数据挖掘方法后,介绍一种基于数据库的挖掘方法—人工神经网络(ArtificialNeuralNetwork)方法,通过对数库据中数据样本的学习,自动发现隐含的大量知识,具体给出了神经网络方法的学习模型和算法.该方法丰富了数据挖掘工具,使定性变量和复杂、动态数据的科学处理成为现实.

After analysing the current data mining methods, this paper introduces a new method on the basis of relation database — artificial neural network method. It highlights automatically a great deal of knowledge among database by learning from data sample. It also comes up with the learning model and algorithm of Artificial neural network method. The method reinforces the current data mining methods, and deals with qualitative variables and complex mobile data sciontifically.