Interlocking of learning and orthonormalization in RRLSA

Neurocomputing

Volumn 49, Issue 1-4, 2002, Pages 429-433

  Möller, Ralf ^a  

^a MAX PLANCK INSTITUTE FOR HUMAN COGNITIVE AND BRAIN SCIENCES   (Germany)

Author keywords

Gram schmidt method; Orthonormalization; Principal component analysis; Recursive least squares

Indexed keywords

COMPUTATIONAL METHODS; EIGENVALUES AND EIGENFUNCTIONS; LEARNING ALGORITHMS; PROBLEM SOLVING; VECTORS;

ORTHONORMALIZATION;

LEARNING SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; INTERMETHOD COMPARISON; LEARNING; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; REGRESSION ANALYSIS; SEQUENTIAL ANALYSIS;

EID: 0036952542     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(02)00671-9     Document Type: Article

References (4)

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3. S. Ouyang, Z. Bao, G.-S. Liao, Robust recursive least squares algorithm for principal component analysis, IEEE Trans. Neural Networks 11 (1) (2000) 215-221.
4. T.D. Sanger, Optimal unsupervised learning in a single-layer linear feedforward neural network, Neural Networks 2 (6) (1989) 459-473.