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Optical processing in neural networks

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1 Author(s)
D. Casasent ; Dept. of Electr. & Comput. Eng., Carnegie MelIon Univ., Pittsburgh, PA, USA

Hybrid neural network hardware and several algorithms that use optical processing at various stages for image processing and pattern recognition are described. The implementations of the algorithms in associative processors, optimization neural networks, symbolic correlator neural networks, production system neural networks, and adaptive neural networks are discussed. Some of the optical processing concepts used in the networks are presented.<>

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IEEE Expert  (Volume:7 ,  Issue: 5 )