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Applied Optics

Applied Optics


  • Vol. 29, Iss. 32 — Nov. 10, 1990
  • pp: 4790–4797

Parallel distributed processing model with local space-invariant interconnections and its optical architecture

Wei Zhang, Kazuyoshi Itoh, Jun Tanida, and Yoshiki Ichioka  »View Author Affiliations

Applied Optics, Vol. 29, Issue 32, pp. 4790-4797 (1990)

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This paper proposes a parallel distributed processing model with local space-invariant interconnections, which is more readily implemented by optics and is able to classify patterns correctly, even if they have been shifted or distorted. Error backpropagation is used as a training algorithm. Computer simulation results presented indicate that the processing is effective and the network can deal with the shifted or distorted patterns. Moreover, the optical implementation architecture using matched filters for the model is discussed.

© 1990 Optical Society of America

Original Manuscript: April 13, 1989
Published: November 10, 1990

Wei Zhang, Kazuyoshi Itoh, Jun Tanida, and Yoshiki Ichioka, "Parallel distributed processing model with local space-invariant interconnections and its optical architecture," Appl. Opt. 29, 4790-4797 (1990)

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  1. Q. Tian, Y. Fainman, Z. H. Gu, S. H. Lee, “Comparison of Statistical Pattern-Recognition Algorithms for Hybrid Processing. I. Linear-Mapping Algorithms,” J. Opt. Soc. Am. A 5, 1655–1669 (1988). [CrossRef]
  2. M. Minsky, S. Papert, Perceptrons (MIT Press, Cambridge, MA, 1969).
  3. B. Widrow, R. Winter, “Neural Nets for Adaptive Filtering and Adaptive Pattern Recognition,” Computer 21, 25–39 (1988). [CrossRef]
  4. T. Kohonen, “The “Neural” Phonetic Typewriter,” Computer 21, 11–22 (1988). [CrossRef]
  5. G. A. Carpenter, S. Grossberg, “The ART of Adaptive Pattern Recognition by a Self-Organizing Neural Network,” Computer 21, 77–88 (1988). [CrossRef]
  6. D. E. Rumelhart et al., Parallel Distributed Processing (MIT Press, Cambridge, MA, 1986).
  7. K. Wagner, D. Psaltis, “Multilayer Optical Learning Networks,” Proc. Soc. Photo-Opt. Instrum. Eng. 752, 86–97 (1987).
  8. A. D. Fisher, W. L. Lippincott, J. N. Lee, “Optical Implementations of Associative Networks with Versatile Adaptive Learning Capabilities,” Appl. Opt. 26, 5039–5054 (1987). [CrossRef] [PubMed]
  9. M. R. Feldman, S. C. Esener, C. C. Guest, S. H. Lee, “Comparison Between Optical and Electrical Interconnects Based on Power and Speed Considerations,” Appl. Opt. 27, 1742–1751 (1988). [CrossRef] [PubMed]
  10. D. Casasent, “Optical Associative Processors for Visual Perception,” Proc. Soc. Photo-Opt. Instrum. Eng. 882, 47 (1986).
  11. K. Fukushima, S. Miyake, T. Ito, “Neocognitron: A Neural Network Model for a Mechanism of Visual Patter Recognition,” IEEE Trans. Sys. Man Cybernet. SMC-13, 826–834 (1983). [CrossRef]
  12. D. H. Hubel, T. N. Wiesel, “Receptive Fields, Binocular Interaction and Functional Architecture in Cat’s Visual Cortex,” J. Physiol. London 160, 106–154 (1962).
  13. D. H. Hubel, T. N. Wiesel, “Receptive Fields and Functional Architecture in Two Nonstriated Visual Area (18 and 19) of the Cat,” J. Neurophysiol. 28, 229–289 (1965). [PubMed]
  14. J. W. Goodman, Introduction to Fourier Optics (Wiley, New York, 1968).

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