DocumentCode
3133864
Title
A simple adaptive back-propagation algorithm for multilayered feedforward perceptrons
Author
Cerqueira, Jes J. F.
Author_Institution
Departamento de Engenharia Eletrica, Univ. Fed. da Bahia - UFBA, Salvador, Brazil
Volume
3
fYear
2002
fDate
6-9 Oct. 2002
Abstract
The paper presents a simple adaptive backpropagation algorithm based on an upper bound for the learning rate. This upper bound maintains the algorithm convergence and only external modifications need to be made in the backpropagation computational routines existent.
Keywords
backpropagation; feedforward neural nets; multilayer perceptrons; algorithm convergence; backpropagation computational routines; learning rate; multilayered feedforward perceptrons; simple adaptive backpropagation algorithm; upper bound; Computer hacking; Convergence; Gradient methods; Helium; Multilayer perceptrons; Nonlinear systems; Optimal control; Optimization methods; Taylor series; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-7437-1
Type
conf
DOI
10.1109/ICSMC.2002.1176108
Filename
1176108
Link To Document