Proceedings Paper
Simulation of information processing algorithms in optical neuron networks in training and recognition modes| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 10 November 1995
PDF: 6 pages
Proc. SPIE 2647, International Conference on Holography and Correlation Optics, (10 November 1995); doi: 10.1117/12.226712
Published in SPIE Proceedings Vol. 2647:
International Conference on Holography and Correlation Optics
Oleg V. Angelsky, Editor(s)
PDF: 6 pages
Proc. SPIE 2647, International Conference on Holography and Correlation Optics, (10 November 1995); doi: 10.1117/12.226712
Show Author Affiliations
Vladimir G. Krasilenko, Collective Scientific-Production Venture Injector (Ukraine)
Anatoly K. Bogukhvalsky, Collective Scientific-Production Venture Injector (Ukraine)
Anatoly K. Bogukhvalsky, Collective Scientific-Production Venture Injector (Ukraine)
Anatoly E. Volosovich, Scientific-Technical Venture Inter-Byte (Ukraine)
Published in SPIE Proceedings Vol. 2647:
International Conference on Holography and Correlation Optics
Oleg V. Angelsky, Editor(s)
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