
Pseudo compact almost automorphy of neutral type Clifford-valued neural networks with mixed delays
Author(s) -
Yongkun Li,
Bing Li
Publication year - 2022
Publication title -
discrete and continuous dynamical systems. series b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 53
eISSN - 1553-524X
pISSN - 1531-3492
DOI - 10.3934/dcdsb.2021248
Subject(s) - mathematics , type (biology) , artificial neural network , quaternion , fixed point theorem , discrete mathematics , uniqueness , combinatorics , pure mathematics , arithmetic , mathematical analysis , computer science , geometry , artificial intelligence , ecology , biology
We consider a class of neutral type Clifford-valued cellular neural networks with discrete delays and infinitely distributed delays. Unlike most previous studies on Clifford-valued neural networks, we assume that the self feedback connection weights of the networks are Clifford numbers rather than real numbers. In order to study the existence of \begin{document}$ (\mu, \nu) $\end{document} -pseudo compact almost automorphic solutions of the networks, we prove a composition theorem of \begin{document}$ (\mu, \nu) $\end{document} -pseudo compact almost automorphic functions with varying deviating arguments. Based on this composition theorem and the fixed point theorem, we establish the existence and the uniqueness of \begin{document}$ (\mu, \nu) $\end{document} -pseudo compact almost automorphic solutions of the networks. Then, we investigate the global exponential stability of the solution by employing differential inequality techniques. Finally, we give an example to illustrate our theoretical finding. Our results obtained in this paper are completely new, even when the considered networks are degenerated into real-valued, complex-valued or quaternion-valued networks.