DocumentCode
296015
Title
The GLS learning algorithm for multilayer neural network
Author
Pavlica, Vladimir ; Erdeljan, Aleksandar
Author_Institution
Dept. of Electr. Eng., Novi Sad Univ., Serbia
Volume
5
fYear
1995
fDate
Nov/Dec 1995
Firstpage
2780
Abstract
A new learning algorithm for multilayer neural networks is introduced. The algorithm merges the gradient technique and least squares technique. The presented algorithm is compared with backpropagation learning rule on the parity problem. Simulation results are presented
Keywords
learning (artificial intelligence); least squares approximations; multilayer perceptrons; GLS learning algorithm; backpropagation learning rule; gradient least squares learning algorithm; gradient technique; least squares technique; multilayer neural network; Artificial neural networks; Distributed processing; Image processing; Least squares methods; Motor drives; Multi-layer neural network; Natural languages; Neural networks; Neurons; Speech processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.488171
Filename
488171
Link To Document