Unipolar neural network using redundant interconnections

Francis T. S. Yu; Guowen Lu; Chii-Maw Uang

doi:10.1117/12.195602

7 December 1994 Unipolar neural network using redundant interconnections

Francis T. S. Yu, Guowen Lu, Chii-Maw Uang

Proceedings Volume 2430, Optical Memory & Neural Networks '94: Optical Neural Networks; (1994) https://doi.org/10.1117/12.195602
Event: Optical Memory and Neural Networks: International Conference, 1994, Moscow, Russian Federation

Abstract

A method to construct a unipolar interpattern association (IPA) interconnection weight matrix (IWM) is presented. By searching the redundant interconnection links, a method that removes all negative links is introduced. Computer simulation as well as experimental results have shown that the unipolar IWM IPA neural network performs better than that of the bipolar IWM IPA model.

Citation Download Citation

Francis T. S. Yu, Guowen Lu, and Chii-Maw Uang "Unipolar neural network using redundant interconnections", Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); https://doi.org/10.1117/12.195602

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