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Case retrieval is the most crucial part in CBR. However, traditional case retrieval methods have many disadvantages on accuracy and efficiency. In order to cope with this problem, an improving method based on self-organizing maps (SOM) was proposed in this paper. Firstly, cluster previous cases into several groups using of SOM networks; secondly, input the new case into SOM networks, and identify...
Case retrieval is a central part in Case-based reasoning (CBR), in order to improve accuracy and efficiency of case retrieval, an improving method based on clustering using of self-organizing maps (SOM) was proposed in this paper. The advantage of this method is Cases' visual clustering result provided by SOM networks greatly facilitating retrieval process and decreasing the retrieval time.
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