10 November 1995 Simulation of information processing algorithms in optical neuron networks in training and recognition modes
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Proceedings Volume 2647, International Conference on Holography and Correlation Optics; (1995) https://doi.org/10.1117/12.226712
Event: International Conference on Holography and Correlation Optics, 1995, Chernivsti, Ukraine
Abstract
Simulation results for information processing models and algorithms in optical neural networks (ONN) in the teaching and recognition modes are presented. They are based on equivalent operations of continuous logic and Boolean operations of coincidence, as well as vector-matrix procedures with normalization and threshold operation. It is proved that models based on these operations are united and common for various methods of coding.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladimir G. Krasilenko, Anatoly K. Bogukhvalsky, and Anatoly E. Volosovich "Simulation of information processing algorithms in optical neuron networks in training and recognition modes", Proc. SPIE 2647, International Conference on Holography and Correlation Optics, (10 November 1995); doi: 10.1117/12.226712; https://doi.org/10.1117/12.226712
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