Simulation of information processing algorithms in optical neuron networks in training and recognition modes

Vladimir G. Krasilenko; Anatoly K. Bogukhvalsky; Anatoly E. Volosovich

doi:10.1117/12.226712

10 November 1995 Simulation of information processing algorithms in optical neuron networks in training and recognition modes

Vladimir G. Krasilenko, Anatoly K. Bogukhvalsky, Anatoly E. Volosovich

Author Affiliations +

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.

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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); https://doi.org/10.1117/12.226712

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