Title :
Research on case-based reasoning search method
Author :
Hongru Li ; Chaoyue Zhao ; Wei Wu
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fDate :
May 31 2014-June 2 2014
Abstract :
The search method based on the way combined self-organizing competitive neural network with nearest neighbor algorithm was proposed. A data preprocessing method applying to the retrieval method was proposed in this paper. The implementation process of the search method based on the way combined self-organizing competitive neural network with nearest neighbor was showed. Eventually, through a practical example, the feasibility and efficiency of combination of self-organizing competitive neural network and nearest neighbor method were demonstrated.
Keywords :
case-based reasoning; pattern clustering; search problems; self-organising feature maps; case-based reasoning search method; combined self-organizing competitive neural network-nearest neighbor algorithm; data preprocessing method; retrieval method; Artificial neural networks; Cognition; Data preprocessing; Neurons; Training; Vectors; CBR; Hierarchical Retrieval; Nearest Neighbor Algorithm; Self-organizing Competitive Neural Network;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852567