Gradient neural dynamics for solving matrix equations and their applications

Author:

Stanimirović Predrag S.ORCID,Petković Marko D.ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference37 articles.

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2. Computation of the Drazin inverse of a singular matrix making use of neural networks;Cichocki;Bull. Polish Acad. Sci. Tech. Sci.,1992

3. K. Chen, S. Yue, Y. Zhang, D.-S. Huang, 2008, MATLAB simulation and comparison of Zhang neural network and gradient neural network for online solution of linear time-varying matrix equation AXB−C=0 in: Proceedings of the International Conference on Intelligent Computing, ICIC2008, Lecture Notes in Artificial Intelligence, vol. 5227. 68–75, doi:10.1007/978-3-540-85984-0_9.

4. Zhang neura lnetwork versus gradient-based neural network for time-varying linear matrix equation solving;Guo;Neurocomputing,2011

5. J. Jang, S. Lee, S. Shin, 1988, An optimization network for matrix inversion, in: Proceedings of the Neural Information Processing Systems, College Park, MD: AIP, pp. 397–401.

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