Optical neural network apparatus using primary processing

Optical: systems and elements – Diffraction – Using fourier transform spatial filtering

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364819, 364822, 365 49, 359107, 359561, G02F 300

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active

050804642

ABSTRACT:
For inputting a two-dimensional image into an optical neural network apparatus, a primary processing device is used to extract the characteristic feature of an object pattern. Thereafter, compressed information as a result of the above processing is inputted into the input of the all-optical type optical neural network apparatus, that implements parallel processings adaptively through optical computing, at individual points on the input of the same. Therefore, the primary processing device that was capable of dealing with only logical input information until now can process even vague input information by the use of the optical neural network apparatus located on the later stage. On the other hand, the use of the primary processing device on the previous stage of the optical neural network apparatus enables a limited input range of the optical neural network apparatus to be expanded together with the assurance of higher degree processing by inputting into the optical neural network apparatus results of the characteristic feature extraction from an original image.

REFERENCES:
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patent: 4833637 (1989-05-01), Casasent et al.
patent: 4972348 (1990-11-01), Ishikawa et al.
patent: 4974202 (1990-11-01), Mukohzaka
Optical Implementation of the Hopfield Model, N. H. Farhat, D. Psaltis, A. Prata, E. Paek; Applied Optics, May 1985, vol. 24, No. 10.
Optical Associatron: A Simple Model for Optical Associative Memory, M. Ishikawa, N. Mukohzaka, H. Toyoda, Y. Suzuki, Applied Optics, Jan. 1989, vol. 28, No. 2.
Experimental Studies on Adaptive Optical Associative Memory, N. Mukohzaka, H. Toyoda, Y. Suzuki, SPIE, vol. 963, pp. 527-536 (1988).

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