Cart (Loading....) | Create Account
Close category search window

An efficient matching algorithm by a hybrid Hopfield network for object recognition

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
Kim, J.H. ; North Carolina A&T State Univ., Greensboro, NC, USA ; Yoon, S.H. ; Kim, Y. ; Park, E.H.
more authors

Hopfield proposed two types of neural networks, the discrete Hopfield network (DHN) and the continuous Hopfield network (CHN). A new method for two-dimensional object recognition using a Hopfield neural network is proposed. A hybrid Hopfield network (HHN), which combines the merit of both the continuous Hopfield network and the discrete Hopfield network, is proposed and some of the advantages such as reliability and speed are discussed. Stable states of neurons are analyzed and predicted based upon the theory of the CHN after convergence in the DHN. The experiments showed that once solutions close to a global minimum were obtained in the DHN, the HHN can find the desired output by adjusting the states of neuron outputs. HHN is a robust approach to solve two-dimensional occlusion problems

Published in:

Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on  (Volume:6 )

Date of Conference:

10-13 May 1992

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.