DocumentCode :
1928272
Title :
Product design scheme decision-making system based on CBR coupled with ANN
Author :
Hua, Chen ; Yan, Cao ; Rujia, Zhao ; Lu, Zhongyu
Author_Institution :
Xi´´an Inst. of Technol., China
Volume :
2
fYear :
2005
fDate :
24-26 May 2005
Firstpage :
856
Abstract :
Product design scheme decision-making determines product´s creativity and knowledge content. It is usually accomplished by designers manually. In the paper, the principle, architecture, key technologies and implementation of product design scheme decision-making system based on CBR coupled with ANN are discussed. The emphases are concentrated on product scheme case classification and modeling, product information coding strategy based on CBR, product scheme case training, product scheme case search, and product scheme case deduction. The system provides novel approaches and tools for product design decision-making to respond to market demands quickly.
Keywords :
CAD; case-based reasoning; decision making; decision support systems; neural nets; product design; ANN; CBR; decision-making system; knowledge content; market demands; product creativity; product design decision-making; product design scheme; product information coding strategy; product scheme case classification; product scheme case deduction; product scheme case search; product scheme case training; Artificial neural networks; CADCAM; Computer aided manufacturing; Decision making; Design automation; Knowledge management; Mechanical engineering; Paper technology; Product design; Production;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design, 2005. Proceedings of the Ninth International Conference on
Print_ISBN :
1-84600-002-5
Type :
conf
DOI :
10.1109/CSCWD.2005.194298
Filename :
1504205
Link To Document :
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