Title

Hardware Implementation of An Adaptive Resonance Theory (ART) Neural Network Using Compensated Operational Amplifiers

Abstract

This paper presents an analog circuit design and implementation for an adaptive resonance theory neural network architecture called the augmented ART1 neural network (AART1-NN). Practical monolithic operational amplifiers (Op-Amps) LM74 1 and LM3 1 8 are selected to implement the circuit, and a simple compensation scheme is developed to adjust the Op-Amp electrical characteristics to meet the design requirement. A 7-node prototype circuit has been designed and verified using the Pspice circuit simulator run on a Sun workstation. Results simulated from the AART1-NN circuit using the LM741, LM318, and ideal Op-Amps are presented and compared.

Publication Date

3-2-1994

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

2243

Number of Pages

344-355

Document Type

Article; Proceedings Paper

Identifier

scopus

Personal Identifier

scopus

DOI Link

https://doi.org/10.1117/12.169983

Socpus ID

1542801363 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/1542801363

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