By Topic

On-line neural network learning algorithm with exponential convergence rate

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 $31
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

1 Author(s)
Zhao, Y. ; Dept. of Electron. Eng., Hangzhou Univ., China

A new on-line learning algorithm for feedforward neural networks is presented. This algorithm is realised by using a technique for minimum tracking of a time-dependent objective function. Theoretical analysis shows that it converges exponentially, and simulations show that it is very effective

Published in:

Electronics Letters  (Volume:32 ,  Issue: 15 )