Comments on "Principal component extraction using recursive least squares learning"

IEEE Transactions on Neural Networks

Volumn 7, Issue 4, 1996, Pages 1052-

  Miao, Yongfeng ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

LINEAR AUTO ASSOCIATIVE NETWORK; OPTIMAL WEIGHT VECTORS; ORTHONORMAL PROPERTY; PRINCIPAL COMPONENT EXTRACTION; RECURSIVE LEAST SQUARES LEARNING; STATIONARY VECTOR STOCHASTIC PROCESS; TWO LAYER LINEAR NETWORK;

ALGORITHMS; CONSTRAINT THEORY; CONVERGENCE OF NUMERICAL METHODS; EIGENVALUES AND EIGENFUNCTIONS; ITERATIVE METHODS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; MATRIX ALGEBRA; OPTIMIZATION; RANDOM PROCESSES; VECTORS;

NEURAL NETWORKS;

EID: 0030194345     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.508950     Document Type: Review

References (2)

1. H. Bourland and Y. Kamp, "Auto-association by multilayer perceptrons and singular value decomposition," Biol. Cybern., vol. 59, pp. 291-294, 1988.
2. S. Bannour and M. R. Azimi-Sadjadi, "Principal component extraction using recursive least squares learning," IEEE Trans. Neural Networks, vol. 6, pp. 457-469, Mar. 1995.