Referenced Items are not available for this document.
The implementation of the maximum entropy reconstruction algorithms by means of neural networks is discussed. It is shown that the solutions of the maximum entropy problem correspond to the steady states of the appropriate Hopfield net. The choice of network parameters is discussed, and existence of the maximum entropy solution is proved
Published in:
Neural Networks, IEEE Transactions on
(Volume:3
,
Issue:
2
)
Date of Publication: Mar 1992
- Page(s):
- 195 - 201
- ISSN :
- 1045-9227
- INSPEC Accession Number:
- 4119745
- Digital Object Identifier :
- 10.1109/72.125860
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Mar 1992
- Sponsored by :
- IEEE Computational Intelligence Society
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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
