A neural network case-based reasoning and its application

被引：0
|
作者：
Ni, ZW [1 ]
Lu, YJ [1 ]
Li, LS [1 ]
Jia, RY [1 ]
机构：
[1] Anhui Univ, Dept Comp Sci, Hefei 230039, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
case-based reasoning; neural network; retrieval algorithm; learning;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An important factor that plays a major role in determining the performance of a case-based system is the complexity and the accuracy of the case retrieval phase. The nearest neighbor search, knowledge-based method and the inductive approach suffer serious drawbacks. This paper examines the possibility of using neural networks as a method of retrieval in such case-based systems. A simple efficient case-based system structure is constructed with neural network. Also, some algorithms are proposed and tested. The application result shows that the approach is efficient.
引用
收藏
页码：529 / 532
页数：4
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