Journal
CHINESE JOURNAL OF PHYSICS
Volume 73, Issue -, Pages 512-522Publisher
ELSEVIER
DOI: 10.1016/j.cjph.2021.06.023
Keywords
Inertial neural networks; Contraction mapping principal; Almost periodic solution
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A type of discrete-time inertial neural networks with delays has been considered, and the existence of almost periodic sequence solution has been obtained using the contraction mapping principal. Furthermore, several sufficient conditions for the boundness and global attractivity of almost periodic sequence solution have been derived by utilizing difference equation analysis techniques.
A type of discrete-time inertial neural networks with delays is considered. Using the contraction mapping principal, we obtain the existence of almost periodic sequence solution for the considered system. Furthermore, several sufficient conditions are obtained for the boundness and global attractivity of almost periodic sequence solution by using difference equation analysis techniques.
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