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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 all suffer from 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 networks. Also, some algorithms are proposed and tested. The application results show that the approach is efficient.
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on (Volume:1 )
Date of Conference: 2002