The inverse eigenvalue problem of structured matrices from the design of Hopfield neural networks

DOI10.1016/j.amc.2015.08.089zbMath1410.15040OpenAlexW2221001599MaRDI QIDQ668428

Wei-Wei Xu, Lei Zhu

Publication date: 19 March 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2015.08.089

zbMATH Keywords

Frobenius norminverse eigenvalue problemoptimal approximationmatrix normstructured matrix

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Inverse problems in linear algebra (15A29)

Related Items (1)

On artificial neural networks approach with new cost functions

Cites Work

• The reflexive and anti-reflexive solutions of the matrix equation \(AX=B\).
• Generalized Reflexive Matrices: Special Properties and Applications
• Inverse eigenproblem of anti-symmetric and persymmetric matrices and its approximation
• Neural networks and physical systems with emergent collective computational abilities.
• Best Approximate Solution of Matrix Equation AXB+CYD=E
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