DocumentCode
1842811
Title
A new adaptive scheme for the backpropagation algorithm
Author
Galván, José B.
Author_Institution
Dipt. de Autom. y Computacion, Univ. Publica de Navarra, Spain
Volume
3
fYear
1999
fDate
1999
Firstpage
1757
Abstract
An adaptive algorithm to calculate the learning rate of the backpropagation algorithm is proposed. It is based on the estimation of the maximum value of that parameter that guarantees stability in each training cycle. This scheme is computationally efficient and it is shown to be faster and to avoid local minima easier than other previously proposed adaptive algorithms
Keywords
backpropagation; neural nets; parameter estimation; adaptive algorithm; adaptive scheme; learning rate; training cycle; Adaptive algorithm; Backpropagation algorithms; Computer networks; Error correction; Graphics; Heuristic algorithms; Minimization methods; Neural networks; Robustness; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.832643
Filename
832643
Link To Document