By Topic

Training multilayer feedforward neural networks using dynamic programming

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

1 Author(s)
Sun, M. ; Dept. of Math., Alabama Univ., Tuscaloosa, AL, USA

The dynamic programming method is implemented as an alternative supervised training algorithm for designing multilayer feedforward artificial neural networks. The author demonstrates its feasibility and competitiveness by two examples. It helps to set a stage for further research and applications

Published in:

System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on

Date of Conference:

31 Mar-2 Apr 1996