Optical Learning Neural Network with a Pockels Readout Optical Modulator
Applied Optics, Vol. 37, Issue 14, pp. 2852-2857 (1998)
http://dx.doi.org/10.1364/AO.37.002852
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Abstract
We have constructed an optical neural-network system with learning capability by using a Pockels readout optical modulator. The system has a two-dimensional structure that permits easy optical alignment and can handle images without scanning. Learning signals are calculated optically with two liquid-crystal devices by a matrix–matrix outer-product method. The calculated learning signals are added directly to the weights memorized on the Pockels readout optical modulator. A two-layer network is implemented, and the learning and recognition of four alphabetical characters are realized according to the delta rule.
© 1998 Optical Society of America
OCIS Codes
(200.4260) Optics in computing : Neural networks
(200.4860) Optics in computing : Optical vector-matrix systems
(230.4110) Optical devices : Modulators
Citation
Masahiko Mori, Yutaka Yagai, Toyohiko Yatagai, and Masanobu Watanabe, "Optical Learning Neural Network with a Pockels Readout Optical Modulator," Appl. Opt. 37, 2852-2857 (1998)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-37-14-2852
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