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Volumn 6, Issue 5, 1993, Pages 627-648
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Least mean square error reconstruction principle for self-organizing neural-nets
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Author keywords
Convergence analysis; Least MSE reconstruction; PCA nets; Self organization; Symmetry breaking
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Indexed keywords
CONVERGENCE OF NUMERICAL METHODS;
ERROR ANALYSIS;
LEAST SQUARES APPROXIMATIONS;
MATHEMATICAL MODELS;
NUMERICAL ANALYSIS;
STATISTICAL METHODS;
CONVERGENCE ANALYSIS;
LEAST MEAN SQUARE ERROR RECONSTRUCTION (LMSER);
PRINCIPAL COMPONENT ANALYSIS (PCA);
SELF ORGANIZATION;
SYMMETRY BREAKING;
NEURAL NETWORKS;
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EID: 0027206958
PISSN: 08936080
EISSN: None
Source Type: Journal
DOI: 10.1016/S0893-6080(05)80107-8 Document Type: Article |
Times cited : (294)
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References (58)
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