Title

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

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 ARTI neural network with an arbitrary number of nodes. © 1993 Taylor & Francis Ltd.

Publication Date

1-1-1993

Publication Title

International Journal of Electronics

Volume

74

Issue

1

Number of Pages

101-110

Document Type

Article

Identifier

scopus

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/00207219308925817

Socpus ID

0027201284 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0027201284

This document is currently not available here.

Share

COinS