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An optoelectronic implementation of the adaptive resonance neural network

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5 Author(s)
Wunsch, D.C. ; Dept. of Electr. Eng., Texas Tech Univ., Lubbock, TX, USA ; Caudell, T.P. ; Capps, C.D. ; Marks, R.J.
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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

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Neural Networks, IEEE Transactions on  (Volume:4 ,  Issue: 4 )