By Topic

A novel architecture for implementing large-scale Hopfield neural networks using CDMA communication technology

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
$33 $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

4 Author(s)
Y. Kanazawa ; Dept. of Electr. Eng., Hokkaido Univ., Sapporo, Japan ; T. Yamada ; T. Asai ; Y. Amemiya

We propose a novel LSI architecture that allows silicon LSIs to implement mutual-coupled neural networks. The architecture reduces wiring areas of Hopfield neural networks by using CDMA protocols for communicating between neurons. As an example, we propose a CDMA-Hopfield neural network, aiming at examining retrieval properties of the network. Extensive simulation results indicated that the CDMA-Hopfield neural network of N neurons could retrieve signal patterns from P memory patterns when P/N ≈ 0.1.

Published in:

Systems, Man and Cybernetics, 2002 IEEE International Conference on  (Volume:6 )

Date of Conference:

6-9 Oct. 2002