29 June 1989 Limitations Of Opto-Electronic Neural Networks
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Proceedings Volume 1053, Optical Pattern Recognition; (1989) https://doi.org/10.1117/12.951514
Event: OE/LASE '89, 1989, Los Angeles, CA, United States
Abstract
Neural networks are composed of three components: neurons, weights, and connections. Limitation on implementing these components in electronics and optics are discussed. We show that using electronically fabricated neurons and a combination of optics and electronics for the weights and connections efficiently utilizes the advantage of each technology. The choice of the technology used to implement the weights and connections depends on the type of neural network being built.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffrey Yu, Jeffrey Yu, Alan Johnston, Alan Johnston, Demetri Psaltis, Demetri Psaltis, David Brady, David Brady, } "Limitations Of Opto-Electronic Neural Networks", Proc. SPIE 1053, Optical Pattern Recognition, (29 June 1989); doi: 10.1117/12.951514; https://doi.org/10.1117/12.951514
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