Hybrid CBR and learning vector quantization neural network approach and its application
Guohui Zhang · Manufacturing Automation · 2006
Based on good expandability and portability of case-based reasoning(CBR) and high classification capability of artificial neural network(ANN),a hybrid CBR and learning vector quantization neural network approach is proposed.In this hybrid approach,which has been applied to a mechanical fault diagnosis system(FDS),the learning vector quantization neural network has been incorporated to the CBR cycle to improve the efficiency and accuracy of the fault diagnosis process.The implement and application steps of this approach are detailed.