DocumentCode :
3635080
Title :
Supervised learning in linear neural networks by a pseudogradient algorithm
Author :
V. Tadic;S. Stankovic
Author_Institution :
Autom. Control Lab., Mihailo Pupin Inst., Belgrade, Yugoslavia
fYear :
1996
Firstpage :
84
Lastpage :
91
Abstract :
A normalization based pseudogradient algorithm has been proposed for learning in linear neural networks. Its WP1 convergence has been proved and practical efficiency has been demonstrated by simulation.
Keywords :
"Supervised learning","Intelligent networks","Neural networks","Convergence","Algorithm design and analysis","Automatic control","Laboratories","Electronic mail","Computational modeling","Computer simulation"
Publisher :
ieee
Conference_Titel :
Neural Networks for Identification, Control, Robotics, and Signal/Image Processing, 1996. Proceedings., International Workshop on
Print_ISBN :
0-8186-7456-3
Type :
conf
DOI :
10.1109/NICRSP.1996.542748
Filename :
542748
Link To Document :
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