Global perturbation effects on learning capability in a CMOS analog implementation of synchronous Boltzmann machine

Kurosh Madani; Ghislain de Tremiolles

doi:10.1117/12.304816

25 March 1998 Global perturbation effects on learning capability in a CMOS analog implementation of synchronous Boltzmann machine

Kurosh Madani, Ghislain de Tremiolles

Author Affiliations +

Proceedings Volume 3390, Applications and Science of Computational Intelligence; (1998) https://doi.org/10.1117/12.304816
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

A very large number of works concerning the area of Artificial Neural Networks (ANN) deal with implementation of these models, especially as digital or analogue CMOS integrated circuits. All of the presented implementations of A.N.N. have been supposed to be working in ideal conditions but real applications will be subject to global perturbations. Unfortunately, very few papers analyze the behavior of analogue implementation of neural network with such kind of perturbations. Since 1994, we have investigated the behavior modeling of electronic A.N.N. with global perturbation conditions. We have scrutinized the behavior analysis of a CMOS analogue implementation of synchronous Boltzmann Machine model with both ambient temperature and electrical perturbations (supply voltage) perturbation. In this paper we present, using our model, the analysis of these global perturbations effects on learning capability in a CMOS analogue implementation of synchronous Boltzmann Machine Simulation and experimental results have been exposed validating our concepts.

Citation Download Citation

Kurosh Madani and Ghislain de Tremiolles "Global perturbation effects on learning capability in a CMOS analog implementation of synchronous Boltzmann machine", Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998); https://doi.org/10.1117/12.304816

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available