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Proceedings Paper

Optimization of magneto-optical spatial light modulators for neural networks
Author(s): V. I. Chani; Andrey Ya. Chervonenkis; Nikolay N. Kirykhin
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Paper Abstract

The performance of neural networks with Ceedback is determined by electrically addressable magneto-optical (MO) spatial light . modula-'' tors (5LM). It was shown that MO SLM may be used. in neural networks but it''s necessary to modificate traditional MO SLM in order to achi eve high switching rate. In this work we present the xnod. ificated MO SLM structure MO media''s physical properties optimized. for achieving high rate switching the MO SLM operational margin and the way$ of its widening. 1 . T- TION An important role in artificial neural networks belongs to electrically addressible programmable SLM. They are particu]ry important if feedback is considered in neural network architecture''. The major requirements to SLIvI''s are high rate switching time providing effecti ye itteration process and high reliability. Among known up to date types of SLM (liquid crystalline RZLT ceramics etc) most attractive are recently developed MO SLM based on epitaxial films of Bisubsti tut?d iron garnet (BiRIG). Two variants of MOSLM''s are conimercially produced on of which (LISA ELSP etc) is oriented for nonmechanicalprinters while the other (SIGHT MOD Semetex) is developed mainly for plane display sys tems. Some of above mentioned MOSLM types have sufficient high rate switching time (typical frame rate for 128x128 SIGHT MOD is 20 ms). In SIGHT MOD variant with 128x128 array where nominal line resistance is in the range of 40-60 Ohm thermal limitation determine

Paper Details

Date Published: 1 August 1990
PDF: 11 pages
Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); doi: 10.1117/12.21180
Show Author Affiliations
V. I. Chani, General Physics Institute (Russia)
Andrey Ya. Chervonenkis, Scientific and Research Ctr. o (Russia)
Nikolay N. Kirykhin, Scientific and Research Ctr. o (Russia)

Published in SPIE Proceedings Vol. 1294:
Applications of Artificial Neural Networks
Steven K. Rogers, Editor(s)

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