This paper introduces a novel neural network based approach for extracting the eigenvalues with the largest or smallest modulus of real skew-symmetric matrices, as well as the corresponding eigenvectors. To this end, unlike the previous neural network based methods that can be summarized by some 2n-
Neural networks based approach for computing eigenvectors and eigenvalues of symmetric matrix
โ Scribed by Zhang Yi; Yan Fu; Hua Jin Tang
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 520 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0898-1221
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