Perturbation effects analysis in analog implementation of a stochastic artificial neural network

Kurosh Madani; Ghislain de Tremiolles

doi:10.1117/12.235952

22 March 1996 Perturbation effects analysis in analog implementation of a stochastic artificial neural network

Kurosh Madani, Ghislain de Tremiolles

Proceedings Volume 2760, Applications and Science of Artificial Neural Networks II; (1996) https://doi.org/10.1117/12.235952
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Analogue implementation of Artificial Neural Networks (ANN) especially as CMOS integrated circuits show several attractive features. During the last decade, numerous works show that small size analogue ANN operate correctly. However, today the efforts are focused on real industrial size application of ANN that will require large networks. On the other hand, all of the presented implementations of ANN have been supposed to be working in ideal conditions but real applications will be subject to some global perturbations. Especially in the case of the analogue and mixed digital/analogue implementation, the behavior analysis of the neural network with perturbation conditions is thus inevitable. Unfortunately, very few papers analyze the behavior of analogue neural network with global perturbations. We have investigated modeling and experimental validation of the behavior of analogue ANN in the case of a global perturbation of the network. We have analyzed the behavior of a CMOS analogue implementation of synchronous Boltzmann Machine model when the neural circuit is subject to perturbations. The perturbations we have considered concern the supply voltage of the neural circuit and ambient temperature in which the circuit operates. In this paper we present the analysis of the behavior of the analogue implementation of synchronous Boltzmann Machine with electrical and thermal perturbations. Simulation and experimental results have been exposed.

Citation Download Citation

Kurosh Madani and Ghislain de Tremiolles "Perturbation effects analysis in analog implementation of a stochastic artificial neural network", Proc. SPIE 2760, Applications and Science of Artificial Neural Networks II, (22 March 1996); https://doi.org/10.1117/12.235952

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