FAST ORTHOGONAL LEAST-SQUARES ALGORITHM FOR EFFICIENT SUBSET MODEL SELECTION

被引:93
作者
CHEN, S
WIGGER, J
机构
[1] Department of Electrical and Electronic Engineering, University of Portsmouth, Portsmouth PO1 3DJ, Anglesea Building
关键词
D O I
10.1109/78.398734
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An efficient implementation of the orthogonal least squares algorithm for subset model selection is derived in this correspondence. Computational complexity of the algorithm is examined and the result shows that this new fast orthogonal least squares algorithm significantly reduces computational requirements.
引用
收藏
页码:1713 / 1715
页数:3
相关论文
共 5 条
[1]   ORTHOGONAL LEAST-SQUARES METHODS AND THEIR APPLICATION TO NON-LINEAR SYSTEM-IDENTIFICATION [J].
CHEN, S ;
BILLINGS, SA ;
LUO, W .
INTERNATIONAL JOURNAL OF CONTROL, 1989, 50 (05) :1873-1896
[2]   ORTHOGONAL LEAST-SQUARES LEARNING ALGORITHM FOR RADIAL BASIS FUNCTION NETWORKS [J].
CHEN, S ;
COWAN, CFN ;
GRANT, PM .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1991, 2 (02) :302-309
[3]  
CHNG ES, 1994, IEEE T SIGNAL PROCES, V43, P373
[4]  
Pao Y.-H., 1989, ADAPTIVE PATTERN REC
[5]   FUZZY BASIS FUNCTIONS, UNIVERSAL APPROXIMATION, AND ORTHOGONAL LEAST-SQUARES LEARNING [J].
WANG, LX ;
MENDEL, JM .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1992, 3 (05) :807-814