Optically realized feedforward-only Cellular Neural Networks

Krzysztof Slot, Tatnas Roska, Leon O. Chua

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

The Cellular Neutral Network (CNN) paradigm is a framework of locally connected analog, nonlinear, dynamic processing elements. CNNs are useful in many application areas including image processing, robot control, biological modelling, etc. An optical implementation of the CNN model using 'liquid crystal light valves' (LCLV) has some definite advantages (especially higher speed and higher resolution) over a VLSI implementation. However the exceptional computing speed (the speed of light) can be fully exploited when 'feedforward-only' templates alone are used. In this work we show how the processing capabilities of optically-realized feedforward-only CNNs can be increased by combining several serial or parallel operations into a single feedforward template. We also derive conditions on a feedforward template whereby the processing resolution in an optical implementation can be increased.

Original languageEnglish
Pages (from-to)158-166
Number of pages9
JournalAEU. Archiv fur Elektronik und Ubertragungstechnik
Volume46
Issue number3
Publication statusPublished - May 1 1992

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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