Machine learning in engineering design-an unsupervised fuzzy neural network case-based learning model

Shih-Lin Hung, J. C. Jan

研究成果: Conference contribution同行評審

6 引文 斯高帕斯(Scopus)

摘要

Engineering design is a creative and experience oriented process. Facing a new design case, an experienced designer will recall the similar cases in a case base which have been solved before. Then, the designer will attempt to find the solution from these similar cases in a way of adaptation or synthesis. An unsupervised fuzzy neural network (UFN) case-based learning model has been developed to perform the aforementioned design process and implemented in two steps. The UFN learning model has been applied to the domain of engineering design. The learning results show that the learning performance of the new learning model is superior to that of a supervised learning model only in complicated or discrete domains. Also, the unsupervised fuzzy neural network learning model can learn complicated design problems within a reasonable CPU time.

原文English
主出版物標題Proceedings - Intelligent Information Systems, IIS 1997
編輯Hojjat Adeli
發行者Institute of Electrical and Electronics Engineers Inc.
頁面156-160
頁數5
ISBN(電子)0818682183, 9780818682186
DOIs
出版狀態Published - 8 十二月 1997
事件1997 International Conference on Intelligent Information Systems, IIS 1997 - Grand Bahama Island, Bahamas
持續時間: 8 十二月 199710 十二月 1997

出版系列

名字Proceedings - Intelligent Information Systems, IIS 1997

Conference

Conference1997 International Conference on Intelligent Information Systems, IIS 1997
國家/地區Bahamas
城市Grand Bahama Island
期間8/12/9710/12/97

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