DocumentCode
1816439
Title
A BP variant with improved convergence and generalization
Author
Aloni-Lavi, Ruthi ; Metzger, Yaakov ; Stein, Yaakov
Author_Institution
Efrat Future Technology Ltd., Tel Aviv, Israel
Volume
1
fYear
1992
fDate
7-11 Jun 1992
Firstpage
932
Abstract
A variant of backpropagation that trains faster, gets caught in local minima less frequently, generalizes better for a given amount of training, and is specifically adapted to pattern recognition problems is presented. These abilities are demonstrated by simulations of an archetypal classification task
Keywords
backpropagation; feedforward neural nets; pattern recognition; backpropagation; classification task; convergence; generalization; local minima; pattern recognition; Application software; Computer architecture; Convergence; Cost function; Dynamic programming; Feedforward neural networks; Nearest neighbor searches; Neural networks; Neurons; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-0559-0
Type
conf
DOI
10.1109/IJCNN.1992.287067
Filename
287067
Link To Document