DocumentCode
1289008
Title
On a new kth-order quadratic learning algorithm
Author
Tan, Shaohua ; Zhang, Xinghu ; Zhu, Qi
Author_Institution
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Volume
44
Issue
2
fYear
1997
fDate
2/1/1997 12:00:00 AM
Firstpage
186
Lastpage
190
Abstract
The authors develop a new kth-order quadratic learning algorithm, and compare it with the conventional least squares algorithm. It appears that when the order k is appropriately chosen, the algorithm can improve the learning efficiency
Keywords
convergence of numerical methods; identification; least squares approximations; convergence; kth-order quadratic learning algorithm; learning efficiency improvement; Circuits; Lyapunov method;
fLanguage
English
Journal_Title
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher
ieee
ISSN
1057-7122
Type
jour
DOI
10.1109/81.554342
Filename
554342
Link To Document