Optical neural network system

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364822, G03H 112, G06G 716

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active

051134853

ABSTRACT:
An optical system of an optical neural network model for parallel data processing is disclosed. Taking advantage of the fact that an auto-correlation matrix is symmetric with respect to a main diagonal and the weights for modulating the values of diagonals of the auto-correlation matrix are equal to each other, the configuration of an optical modulation unit is simplified by a one-dimensional modulation array on the one hand, and both positive and negative weights are capable of being computed at the same time on the other hand. In particular, the optical system makes up a second-order neural network exhibiting invariant characteristics against the translation and scale.

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patent: 5056039 (1991-08-01), Caulfield et al.
"Compact architectures for adaptive neural nets", Athale et al., Optical Engineering, vol. 28 No. 4, Apr. 1989.
"Optical computing: The Coming Revolution in Optical Signal Processing", Laser Focus/Electro-Optics, Nov. 1983.
C. Lee Giles et al., "Learning, Invariance, and Generalization in High-Order Neural Networks", Applied Optics, vol. 26, No. 23, Dec. 1, 1987, pp. 4972-4978. (Provided in English)
"Rapid Communications", Applied Optics, vol. 21, No. 12, June 14, 1982, pp. 2089-2090. (Provided in English).

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