Circuit Simulation Of Adaptive Resonance Theory (Art) Neural Network Using Pspice

    Authors

    D. Wuerz; J. J. Liou;M. Georgiopoulos

    Comments

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

    Abbreviated Journal Title

    Int. J. Electron.

    Keywords

    ARCHITECTURES; Engineering, Electrical & Electronic

    Abstract

    This paper outlines the design and simulation of an analogue integrated circuit for the adaptive resonanace theory (ART1) neural network. The circuit is designed based on a set of coupled differential equations which describe the behaviour of the neural network and on analogue electronic components such as operational amplifiers. It performs the same functionality as the one-node neural network in the F2 layer of ART1. We have implemented and verified the circuit using a circuit simulator called Pspice run on a SPARC II Sun workstation. Results obtained from circuit simulation compare favourably with those calculated directly from the coupled differential equations. The one-node circuit developed here can be used as a subcircuit for a larger ART1 neural network with an arbitrary number of nodes.

    Journal Title

    International Journal of Electronics

    Volume

    74

    Issue/Number

    1

    Publication Date

    1-1-1993

    Document Type

    Article

    Language

    English

    First Page

    101

    Last Page

    110

    WOS Identifier

    WOS:A1993KL63800010

    ISSN

    0020-7217

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