@inproceedings{a5b022d4598c4b1988e00d02034b9df7,
title = "Machine learning in engineering design-an unsupervised fuzzy neural network case-based learning model",
abstract = "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.",
author = "Shih-Lin Hung and Jan, {J. C.}",
year = "1997",
month = dec,
day = "8",
doi = "10.1109/IIS.1997.645209",
language = "English",
series = "Proceedings - Intelligent Information Systems, IIS 1997",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "156--160",
editor = "Hojjat Adeli",
booktitle = "Proceedings - Intelligent Information Systems, IIS 1997",
address = "United States",
note = "null ; Conference date: 08-12-1997 Through 10-12-1997",
}