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Compact optical neural network using cascaded liquid crystal television

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Abstract

An optical neural network using two tightly cascaded liquid crystal televisions is presented. This new optical architecture offers compactness in size, ease of alignment, higher light efficiency, better image quality, and low cost. The implementation of the autoassociative and heteroassociative memories is given.

© 1990 Optical Society of America

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