By Topic

Associative memories with "killed" neurons: The methods of recovery

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

4 Author(s)
Reznik, A.M. ; Inst. of the Math. Machines & Syst., Ukrainian Nat. Acad. of Sci., Kiev, Ukraine ; Sitchov, A.S. ; Dekhtyarenko, O.K. ; Nowicki, D.W.

We consider re-learning ability of a Hopfield-type network after killing some neurons. Neurons were "killed" by means of ification of corresponding rows and columns of the synaptic matrix. We show that one can restore recognition ability of this network using re-training with the vectors, which were memorized before. The number of vectors needed is equal to the number of deleted neurons. It does not depend on network's size and on volume of stored data.

Published in:

Neural Networks, 2003. Proceedings of the International Joint Conference on  (Volume:4 )

Date of Conference:

20-24 July 2003