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
fDate :
2/1/1997 12:00:00 AM
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;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
