Using artificial neural networks to develop a mechanism for functional feature-based reference design retrieval

Y. J. Chen, Y. M. Chen, C. B. Wang, T. Chen

研究成果: Paper

2 引文 (Scopus)

摘要

This study uses the adaptive resonance theory (ART) neural network to realize a mechanism for functional feature-based reference design retrieval to provide engineering designers with easy access to relevant design and related knowledge. The retrieval process includes the steps of functional feature-based query, case searching, and case ranking. The technology involves a binary code-based representation for functional features, ART neural network for functional feature-based case clustering, functional feature-based case similarity ranking, and a case-based representation for designed entities.

原文English
頁面829-833
頁數5
出版狀態Published - 2004 十二月 1
事件Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004 - , Singapore
持續時間: 2004 十月 182004 十月 21

Other

OtherProceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004
國家Singapore
期間04-10-1804-10-21

指紋

Neural networks
Binary codes
Ranking
Artificial neural network
Query
Clustering

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Management Science and Operations Research

引用此文

Chen, Y. J., Chen, Y. M., Wang, C. B., & Chen, T. (2004). Using artificial neural networks to develop a mechanism for functional feature-based reference design retrieval. 829-833. 論文發表於 Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004, Singapore.
Chen, Y. J. ; Chen, Y. M. ; Wang, C. B. ; Chen, T. / Using artificial neural networks to develop a mechanism for functional feature-based reference design retrieval. 論文發表於 Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004, Singapore.5 p.
@conference{a5b3f765820b46bf96da57f65cc793e5,
title = "Using artificial neural networks to develop a mechanism for functional feature-based reference design retrieval",
abstract = "This study uses the adaptive resonance theory (ART) neural network to realize a mechanism for functional feature-based reference design retrieval to provide engineering designers with easy access to relevant design and related knowledge. The retrieval process includes the steps of functional feature-based query, case searching, and case ranking. The technology involves a binary code-based representation for functional features, ART neural network for functional feature-based case clustering, functional feature-based case similarity ranking, and a case-based representation for designed entities.",
author = "Chen, {Y. J.} and Chen, {Y. M.} and Wang, {C. B.} and T. Chen",
year = "2004",
month = "12",
day = "1",
language = "English",
pages = "829--833",
note = "Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004 ; Conference date: 18-10-2004 Through 21-10-2004",

}

Chen, YJ, Chen, YM, Wang, CB & Chen, T 2004, 'Using artificial neural networks to develop a mechanism for functional feature-based reference design retrieval' 論文發表於 Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004, Singapore, 04-10-18 - 04-10-21, 頁 829-833.

Using artificial neural networks to develop a mechanism for functional feature-based reference design retrieval. / Chen, Y. J.; Chen, Y. M.; Wang, C. B.; Chen, T.

2004. 829-833 論文發表於 Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004, Singapore.

研究成果: Paper

TY - CONF

T1 - Using artificial neural networks to develop a mechanism for functional feature-based reference design retrieval

AU - Chen, Y. J.

AU - Chen, Y. M.

AU - Wang, C. B.

AU - Chen, T.

PY - 2004/12/1

Y1 - 2004/12/1

N2 - This study uses the adaptive resonance theory (ART) neural network to realize a mechanism for functional feature-based reference design retrieval to provide engineering designers with easy access to relevant design and related knowledge. The retrieval process includes the steps of functional feature-based query, case searching, and case ranking. The technology involves a binary code-based representation for functional features, ART neural network for functional feature-based case clustering, functional feature-based case similarity ranking, and a case-based representation for designed entities.

AB - This study uses the adaptive resonance theory (ART) neural network to realize a mechanism for functional feature-based reference design retrieval to provide engineering designers with easy access to relevant design and related knowledge. The retrieval process includes the steps of functional feature-based query, case searching, and case ranking. The technology involves a binary code-based representation for functional features, ART neural network for functional feature-based case clustering, functional feature-based case similarity ranking, and a case-based representation for designed entities.

UR - http://www.scopus.com/inward/record.url?scp=17644374208&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=17644374208&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:17644374208

SP - 829

EP - 833

ER -

Chen YJ, Chen YM, Wang CB, Chen T. Using artificial neural networks to develop a mechanism for functional feature-based reference design retrieval. 2004. 論文發表於 Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004, Singapore.