Title :
Optical processing in neural networks
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie MelIon Univ., Pittsburgh, PA, USA
Abstract :
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.<>
Keywords :
image processing; image recognition; neural chips; optical neural nets; adaptive neural networks; associative processors; hybrid neural net hardware; image processing; optical processing; optical processing concepts; optimization neural networks; pattern recognition; production system neural networks; symbolic correlator neural networks; Detectors; Fourier transforms; Intelligent networks; Lenses; Neural networks; Neurons; Optical fiber networks; Optical filters; Optical interconnections; Optical modulation;
Journal_Title :
IEEE Expert
