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Proceedings Paper

Optical learning neural network with fuzzy controlling
Author(s): Masahiko Mori; Yutaka Yagai; Xin Lin; Toyohiko Yatagai
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Paper Abstract

We constructed a learning optical neural network with variable learning coefficient by fuzzy controlling. The system performs learning with 2D optical means for handling images without scanning and pixeling. By the fuzzy controlling theory, the learning coefficient in back- propagation algorithm is adjusted based on the training error and training time. The effectiveness of the system confirmed by the learning experiments of the recognition of three human faces.

Paper Details

Date Published: 24 May 2000
PDF: 6 pages
Proc. SPIE 4089, Optics in Computing 2000, (24 May 2000); doi: 10.1117/12.386887
Show Author Affiliations
Masahiko Mori, Electrotechnical Lab. (Japan)
Yutaka Yagai, Univ. of Tsukuba (Japan)
Xin Lin, Electrotechnical Lab. (Japan)
Toyohiko Yatagai, Univ. of Tsukuba (Japan)

Published in SPIE Proceedings Vol. 4089:
Optics in Computing 2000
Roger A. Lessard; Tigran V. Galstian, Editor(s)

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