A Mixed Analog/Digital Vlsi Design And Simulation Of An Adaptive Resonance Theory (Art) Neural Network Architecture

    Authors

    C. S. Ho; J. J. Liou; M. Georgiopoulos;C. Christodoulou

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Simulation

    Keywords

    VLSI; AART1-NN; neural networks; analog digital design; adaptive; resonance theory (ART); IMPLEMENTATION; Computer Science, Interdisciplinary Applications; Computer Science, ; Software Engineering

    Abstract

    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.

    Journal Title

    Simulation

    Volume

    66

    Issue/Number

    1

    Publication Date

    1-1-1996

    Document Type

    Article

    Language

    English

    First Page

    31

    Last Page

    39

    WOS Identifier

    WOS:A1996UE62200004

    ISSN

    0037-5497

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