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同行評審

2 引文 斯高帕斯(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
事件Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004 - , Singapore
持續時間: 2004 10月 182004 10月 21

Other

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

All Science Journal Classification (ASJC) codes

  • 工程 (全部)
  • 管理科學與經營研究

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