DocumentCode
885167
Title
Novel fast training algorithm for multilayer feedforward neural network
Author
Park, D.-J. ; Jun, B.-E. ; Kim, Jung-Ho
Author_Institution
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
Volume
28
Issue
6
fYear
1992
fDate
3/12/1992 12:00:00 AM
Firstpage
543
Lastpage
545
Abstract
A new fast learning algorithm for a multilayer feedforward neural network is presented. The new algorithm, based on an innovative variable step size and gradient averaging, has excellent properties to overcome major drawbacks of the backpropagation algorithm and shows high convergence speed. The improved performance of new algorithm in comparison with other algorithms is verified via computer simulations.
Keywords
convergence; learning systems; neural nets; backpropagation algorithm; computer simulations; convergence speed; fast learning algorithm; gradient averaging; multilayer feedforward neural network; variable step size;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19920343
Filename
126489
Link To Document