Improving The Performance Of Neural Networks

Henri H Arsenault; Yunlong Sheng; Alexandre Jouan; Claude Lejeune

doi:10.1117/12.944103

3 May 1988 Improving The Performance Of Neural Networks

Henri H Arsenault, Yunlong Sheng, Alexandre Jouan, Claude Lejeune

Proceedings Volume 0882, Neural Network Models for Optical Computing; (1988) https://doi.org/10.1117/12.944103
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

Abstract

The performance of neural networks used for pattern recognition and classification may be improved by introducing some capacity for invariance into the network. Two measures of similarity and their relationship to the network architecture are discussed. A very efficient neural network that may be used not only as a content-addressable memory but as a general symbolic substitution network is discussed. In addition to invariance to input errors, invariance to translations and rotations are considered. This may be accomplished by modifying the network itself, or changing the interconnection scheme, or by means of some pre-processing of the input data. In some cases the preprocessing could be done by the network itself or by another network, or by optical means. The techniques discussed include the introduction of more input neurons, the preprocessing of data by means of invariant matched filters, the use of new invariant image representations and the projection of input data on stored invariant principal components. The trade-offs involved in the various proposed schemes are discussed.

Citation Download Citation

Henri H Arsenault, Yunlong Sheng, Alexandre Jouan, and Claude Lejeune "Improving The Performance Of Neural Networks", Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); https://doi.org/10.1117/12.944103

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