DocumentCode
176197
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
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
2360
Lastpage
2364
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852567
Filename
6852567
Link To Document