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- W2364353629 abstract "A class of neural networks described by differential equations is employed to compute out all eigenvalues and eigenvectors of any real symmetric matrix. Structure for the set of equilibrium points of the network is studied in detail. The differential equation of the network is solved by solving a simple one dimensional differential equation. Solutions of the network are represented by the eigenvalues and eigenvectors of the symmetric matrix, and the asymptotic behavior of the solutions is analyzed. Finally, a algorithm for computing all eigenvalues and eigenvectors of real symmetric matrix is proposed." @default.
- W2364353629 created "2016-06-24" @default.
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- W2364353629 date "2000-01-01" @default.
- W2364353629 modified "2023-09-25" @default.
- W2364353629 title "Computing Eigenvalues and Eigenvectors of Matrix by Neural Networks" @default.
- W2364353629 hasPublicationYear "2000" @default.
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