16 September 1992 Impact of noise on an optoelectronic neural network
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Noise in an optoelectronic neural network alters the performance of the network. The shortest distance from a pattern to a decision plane limits the amount of system noise the network can tolerate. In this paper the noise model of a neural network implemented in optoelectronics is given, as well as an upper limit on the noise the network can tolerate and still classify patterns.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lin Zhang, Lin Zhang, Kristina M. Johnson, Kristina M. Johnson, } "Impact of noise on an optoelectronic neural network", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); doi: 10.1117/12.140043; https://doi.org/10.1117/12.140043

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