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Proceedings Paper • Open Access

Optical neural network and education
Author(s): Francis T. S. Yu

Paper Abstract

As we know about it, the more we try to learn, the more we cannot learn. The thought of learning is quite different from college to college, and from person to person. In this paper, I shall discuss some of the major differences in the thoughts of learning (or rather education), as from the point of view of artificial neural network. By the virtues of understanding a neural network learning, we would be able to educate our students more efficiently and effectively. Particularly with the current rapid-trend of information science and technology, we may have to force ourselves to educate our students differently. Experimental results, as derived from some of our optical neural network models, as related to education, will be demonstrated and interpreted.

Paper Details

Date Published: 28 May 2002
PDF: 9 pages
Proc. SPIE 4588, Seventh International Conference on Education and Training in Optics and Photonics, (28 May 2002); doi: 10.1117/12.468704
Show Author Affiliations
Francis T. S. Yu, The Pennsylvania State Univ. (United States)


Published in SPIE Proceedings Vol. 4588:
Seventh International Conference on Education and Training in Optics and Photonics
Tuan-Kay Lim; Robert P. Breault; Arthur H. Guenther; Arthur H. Guenther, Editor(s)

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