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Proceedings Paper

Optical learning neural networks with two-dimensional structure
Author(s): Masahiko Mori; Toyohiko Yatagai
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Paper Abstract

We constructed optical systems for learning neural networks with 2D structure sing Selfoc microlens arrays. On the systems, pattern recognitions of typed alphabetic characters which were directly detected with a CCD camera were realized. Liquid crystal devices, an electron-beam addressed spatial light modulator and a Pockels readout optical modulator were used for displaying weight matrices of the neural networks. The weights were renewed according to the random search algorithm or the delta rule with error signals calculated optically. The 2D structure for image processing can be implemented with large scale networks that consist of several thousands input neurons.

Paper Details

Date Published: 1 April 1998
PDF: 7 pages
Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); doi: 10.1117/12.304948
Show Author Affiliations
Masahiko Mori, Electrotechnical Lab. (Japan)
Toyohiko Yatagai, Univ. of Tsukuba (Japan)

Published in SPIE Proceedings Vol. 3402:
Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks
Andrei L. Mikaelian, Editor(s)

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