DocumentCode
396650
Title
The further discussions on constrained learning algorithms
Author
Huang, De-Shuang
Author_Institution
Inst. of Intelligent Machines, Chinese Acad. of Sci., Hefei, China
Volume
3
fYear
2003
fDate
20-24 July 2003
Firstpage
1868
Abstract
This paper revisits the constrained learning algorithm (CLA) proposed by Perantonis and Karras (1995), and makes further analyses and discussions on the parameters with the CLAs. Specifically, we investigate the effect of removing the constrained condition of the weight change on the CLAs. It is suggested that for those problems that do not need to do precise computation, the modified CLA is a better choice. Finally, some simulation results are presented to support our claims.
Keywords
backpropagation; feedforward neural nets; function approximation; optimisation; Perantonis Karras algorithm; backpropagation; constrained learning algorithms; feedforward neural nets; optimisation; Acceleration; Algorithm design and analysis; Approximation algorithms; Computational modeling; Convergence; Cost function; Feedforward neural networks; Learning systems; Machine learning; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1223692
Filename
1223692
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