A solution to the problem of implementation of the adaptive resonance theory (ART) of neural networks that uses an optical correlator which allows the large body of correlator research to be leveraged in the implementation of ART is presented. The implementation takes advantage of the fact that one ART-based architecture, known as ART1, can be broken into several parts, some of which are better to implement in parallel. The control structure of ART, often regarded as its most complex part, is actually not very time consuming and can be done in electronics. The bottom-up and top-down gated pathways, however, are very time consuming to simulate and are difficult to implement directly in electronics due to the high number of interconnections. In addition to the design, the authors present experiments with a laboratory prototype to illustrate its feasibility and to discuss implementation details that arise in practice. This device can potentially outperform alternative implementations of ART1 by as much as two to three orders of magnitude in problems requiring especially large input fields


Electrical and Computer Engineering

Second Department

Computer Science

Keywords and Phrases

ART; ART1; Adaptive Resonance Neural Network; Adaptive Resonance Theory; Optical Correlation; Optical Correlator; Optical Neural Nets; Optoelectronic Devices; Optoelectronic Implementation; Pattern Recognition; Spatial Filters

International Standard Serial Number (ISSN)


Document Type

Article - Journal

Document Version

Final Version

File Type





© 1993 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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