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SIMULATION
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A Mixed Analog/Digital VLSI Design and Simulation of An Adaptive Resonance Theory (ART) Neural Network Architecture

C.S. Ho

Department of Electrical and Computer Engineering University of Central Florida Orlando, FL 32816

J.J. Liou

Department of Electrical and Computer Engineering University of Central Florida Orlando, FL 32816

M. Georgiopoulos

Department of Electrical and Computer Engineering University of Central Florida Orlando, FL 32816

C. Christodoulou

Department of Electrical and Computer Engineering University of Central Florida Orlando, FL 32816

This paper presents a mixed analog/digital circuit design and simulation for an architecture called the augmented adaptive resonance theory-1 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. The AART1-NN circuit implemented is simulated using Pspice, and the results are in good agreement with those calculated numerically from the coupled nonlinear differential equations governing the AART1-NN.

Key Words: VLSI • AART1-NN • neural networks • analog digital design • adaptive resonance theory (ART).

SIMULATION, Vol. 66, No. 1, 31-39 (1996)
DOI: 10.1177/003754979606600104
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