Anti-periodic Solutions for Quaternion-Valued High-Order Hopfield Neural Networks with Time-Varying Delays-Reference-Cited by-同舟云学术

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Anti-periodic Solutions for Quaternion-Valued High-Order Hopfield Neural Networks with Time-Varying Delays

Published:2018-06-01 Issue:3 Volume:49 Page:1217-1237
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Li Yongkun,Qin Jiali,Li Bing^ORCID

Funder

The National Natural Sciences Foundation of People’s Republic of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-018-9867-8.pdf

Reference46 articles.

1. Chen L (1991) Definition of determinant and cramer solutions over the quaternion field. Acta Math Sin 7(2):171–180

2. Miron S, Bihan NL, Mars JI (2006) Quaternion-MUSIC for vector-sensor array processing. IEEE Trans Signal Process 54(4):1218–1229

3. Ell T, Sangwine SJ et al (2007) Hypercomplex fourier transforms of color images. IEEE Trans Image Process 16(1):22–35

4. Took CC, Strbac G, Aihara K, Mandic D (2011) Quaternion-valued short-term joint forecasting of three-dimensional wind and atmospheric parameters. Renew Energy 36(6):1754–1760

5. Isokawa T, Matsui N, Nishimura H (2009) Quaternionic neural networks: fundamental properties and applications. In: Nitta T (ed) Complex-valued neural networks: utilizing high-dimensional parameters, chap XVI. Information Science Reference, Hershey, New York, pp 411–439

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3. Pseudo Antiperiodic Solutions to Volterra Difference Equations;Mediterranean Journal of Mathematics;2022-12-17

4. Pseudo S-Asymptotically $$\omega $$-Antiperiodic Solutions for SICNNs with Mixed Delays;Neural Processing Letters;2022-11-19

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