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.
|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 18 → 2004 10月 21
|Other||Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004|
|期間||04-10-18 → 04-10-21|
All Science Journal Classification (ASJC) codes
- 工程 (全部)