Mixed analog/digital VLSI design and simulation of an adaptive resonance theory (ART) neural network architecture

Juin J. Liou; Ching S. Ho; Christos G. Christodoulou; L. Chan

doi:10.1117/12.205197

6 April 1995 Mixed analog/digital VLSI design and simulation of an adaptive resonance theory (ART) neural network architecture

Juin J. Liou, Ching S. Ho, Christos G. Christodoulou, L. Chan

Author Affiliations +

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205197
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

This paper presents a mixed analog/digital circuit design for an adaptive resonance theory (ART) architecture, called the augmented adaptive resonance theory-I neural network (AART1-NN). The circuit is implemented based on the transconductance-mode approach and mixed analog/digital components, in which analog circuits are used to fully incorporate the parallel mechanism of the neural network, whereas digital circuits are used to provide a reduced circuit size as well as more precise multiplication operation. It is shown that the Pspice simulation results of the implemented circuit are in good agreement with the results calculated numerically from the coupled nonlinear differential equations governing the AART1-NN.

Citation Download Citation

Juin J. Liou, Ching S. Ho, Christos G. Christodoulou, and L. Chan "Mixed analog/digital VLSI design and simulation of an adaptive resonance theory (ART) neural network architecture", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205197

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