自组织数据挖掘与人工神经网络方法比较研究

着重分析了自组织数据挖掘与人工神经网络方法对系统的先验知识的利用 ,算法过程以及推广能力方面的差别 ,显示了自组织数据挖掘方法具有能同时利用关于系统的先验知识和来自观察数据样本的信息的良好性能 ,并指出 ,这应当成为研究复杂系统的一条重要途径.

The Comparison between the Self-organizing Data Mining and Artificial Neural Network

This paper analyzes the difference between the method of self|organizing data mining and artificial neural network in the usage of priori information to system, algorithm process and generalization capability. It has been presented that the method of self|organizing data mining has a good capability of using both priori information on the system and information from sample case. Also authors point out that this method is an efficient approach to the research of complex systems.