Almost periodic oscillation of octonion-valued neural networks with delays on time scales. Issue 4 (12th March 2023)
- Record Type:
- Journal Article
- Title:
- Almost periodic oscillation of octonion-valued neural networks with delays on time scales. Issue 4 (12th March 2023)
- Main Title:
- Almost periodic oscillation of octonion-valued neural networks with delays on time scales
- Authors:
- Li, Yongkun
Huang, Xiaoli - Abstract:
- ABSTRACT: In this paper, we propose an octonion-valued neural network model governed by dynamic equations, and study the existence and stability of its almost periodic solutions by employing the fixed point method and the time scale calculus theory. The method we use is the direct one, that is, we do not split the considered systems into real-valued ones, but directly study octonion-valued systems. Even when the time scale T = R, in other words, even if we consider continuous time real-valued systems, our results are novel. Finally, we illustrate the effectiveness of our results through a numerical example and computer simulation.
- Is Part Of:
- International journal of systems science. Volume 54:Issue 4(2023)
- Journal:
- International journal of systems science
- Issue:
- Volume 54:Issue 4(2023)
- Issue Display:
- Volume 54, Issue 4 (2023)
- Year:
- 2023
- Volume:
- 54
- Issue:
- 4
- Issue Sort Value:
- 2023-0054-0004-0000
- Page Start:
- 780
- Page End:
- 790
- Publication Date:
- 2023-03-12
- Subjects:
- Octonion-valued neural network -- almost periodic solution -- global exponential stability -- time scale
System analysis -- Periodicals
003.3 - Journal URLs:
- http://www.tandf.co.uk/journals/titles/00207721.asp ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/00207721.2022.2145859 ↗
- Languages:
- English
- ISSNs:
- 0020-7721
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.693000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26945.xml