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

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Pages829-833
Number of pages5
Publication statusPublished - 2004 Dec 1
EventProceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004 - , Singapore
Duration: 2004 Oct 182004 Oct 21

Other

OtherProceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004
CountrySingapore
Period04-10-1804-10-21

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Management Science and Operations Research

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