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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