A simple functional neural network for computing the largest and smallest eigenvalues and corresponding eigenvectors of a real symmetric matrix

Neurocomputing

Volumn 67, Issue 1-4 SUPPL., 2005, Pages 369-383

  Liu, Yiguang ^a,b   You, Zhisheng ^b   Cao, Liping ^b  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b SICHUAN UNIVERSITY   (China)

Author keywords

Eigenvalues; Eigenvectors; Functional neural network; Real symmetric matrix

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; DIFFERENTIAL EQUATIONS; EIGENVALUES AND EIGENFUNCTIONS; MATHEMATICAL MODELS; MATRIX ALGEBRA; PERFORMANCE; PROBLEM SOLVING;

ENGINEERING PROBLEMS; FUNCTIONAL NEURAL NETWORK; REAL SYMMETRIC MATRIX;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COMPUTER ANALYSIS; COMPUTER SYSTEM; ENGINEERING; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

EID: 21744437477     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.10.116     Document Type: Article

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