Real-time neural computation of the eigenvector corresponding to the largest eigenvalue of positive matrix-Reference-Cited by-同舟云学术

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Real-time neural computation of the eigenvector corresponding to the largest eigenvalue of positive matrix

Published:1995-03 Issue:2 Volume:7 Page:145-157
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Fa-Long Luo,Yan-Da Li

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference11 articles.

1. Multiple emitter location and signal parameter estimation;Schmidt;IEEE Trans. AP,1986

2. S.M. Kay, Modern Spectrum Estimation: Theory and Application (Prentice Hall, Englewood Cliffs, NJ).

3. Adaptive array processing, a tutorial;Griffiths,1983

4. Adaptive airborne MTI an auxiliary channel approach;Klemn,1987

5. B. Widrow, Adaptive Signal Processing (Prentice-Hall, Englewood Cliffs, NJ).

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1. Recurrent neural network for computation of generalized eigenvalue problem with real diagonalizable matrix pair and its applications;Neurocomputing;2016-12

2. A Novel Neural Network Approach for Computing Eigen-Pairs of Real Antisymmetric Matrices;Artificial Intelligence and Computational Intelligence;2012

3. Computing eigenvectors and corresponding eigenvalues with largest or smallest modulus of real antisymmetric matrix based on neural network with less scale;2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE);2010-02

4. A recurrent neural network computing the largest imaginary or real part of eigenvalues of real matrices;Computers & Mathematics with Applications;2007-01

5. A concise functional neural network computing the largest modulus eigenvalues and their corresponding eigenvectors of a real skew matrix;Theoretical Computer Science;2006-12

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