Optical Implementation Of Winner-Take-All Networks: Noise Considerations

S M Rovnyak; C W Stirk; R A Athale

doi:10.1117/12.944113

3 May 1988 Optical Implementation Of Winner-Take-All Networks: Noise Considerations

S M Rovnyak, C W Stirk, R A Athale

Proceedings Volume 0882, Neural Network Models for Optical Computing; (1988) https://doi.org/10.1117/12.944113
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

Abstract

Variation in the response of hardware components causes analog implementations of neural networks with soft nonlinearities to corrupt their signals with noise. In this paper we simulate the behavior of analog implementations of multiplicative and additive winner-take-all lateral-inhibitory-networks (WTA-LIN) for different levels of component variation. We observe that for an acceptable level of performance the amplitude resolution and number of the initial neuron activities are constrained by the standard deviation of the component nonuniformity.

Citation Download Citation

S M Rovnyak, C W Stirk, and R A Athale "Optical Implementation Of Winner-Take-All Networks: Noise Considerations", Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); https://doi.org/10.1117/12.944113

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