IEEE.org| IEEE Xplore Digital Library| IEEE Standards| IEEE Spectrum| More Sites

Cart (Loading....) | Create Account | 

Close category search window
Author Searchbeta |  Advanced Search  |  Preferences |  Search Tips  |  More Search Options  
 
Browse Conference Publications > Neural Networks, 1993. IJCNN ... Help

Parallel learning on the ArMenX machine by defining sub-networks

Full Text Sign-In or Purchase

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

5 Author(s)
Autret, Y. ; Fac. des Sci., Univ. de Bretagne Occidentale, Brest, France ; Thepaut, A. ; Ouvradou, G. ; Le Drezen, J.
more authors

In this paper, we describe a parallel machine and show how it can be used for implementing parallel learning. The machine, called ArMenX, includes digital signal processors (DSPs) and transputers. DSPs are used for neural network computations. Transputers are used for DSP dynamic allocation. An existing learning algorithm has been chosen and implemented on the machine.

Published in:
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on  (Volume:1 )

Date of Conference: 25-29 Oct. 1993

Page(s):
915 - 918 vol.1
Print ISBN:
0-7803-1421-2
INSPEC Accession Number:
4961921
Digital Object Identifier :
10.1109/IJCNN.1993.714060
Product Type:
Conference Publications

IEEE Account

Purchase Details

Profile Information

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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.