Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/72440
Title: A high-order recursive quadratic learning algorithm
Authors: Zhu, Q.
Tan, S. 
Qiao, Y.
Issue Date: 2005
Citation: Zhu, Q.,Tan, S.,Qiao, Y. (2005). A high-order recursive quadratic learning algorithm. Lecture Notes in Computer Science 3514 (I) : 90-98. ScholarBank@NUS Repository.
Abstract: A k-order Recursive Quadratic learning algorithm is proposed and its features are described in detail in this paper. Simulations are carried out to illustrate the efficiency and effectiveness of this new algorithm by comparing the results with both the projection algorithm and the conventional least squares algorithm. © Springer-Verlag Berlin Heidelberg 2005.
Source Title: Lecture Notes in Computer Science
URI: http://scholarbank.nus.edu.sg/handle/10635/72440
ISSN: 03029743
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.