Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays-Reference-Cited by-同舟云学术

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Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays

Published:2018-06-20 Issue:1 Volume:2018 Page:
ISSN:1687-1847
Container-title:Advances in Difference Equations
language:en
Short-container-title:Adv Differ Equ

Author:

Zhao Wei,Wu Huaiqin

Funder

the National Natural Science Foundation of China and High level talent project of Hebei Province of China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Algebra and Number Theory,Analysis

Link

http://link.springer.com/content/pdf/10.1186/s13662-018-1666-z.pdf

Reference44 articles.

1. Nitta, T.: Orthogonality of decision boundaries in complex-valued neural networks. Neural Comput. 16, 73–97 (2004)

2. Yu, D., Deng, L., Seide, F.: The deep tensor neural network with applications to large vocabulary speech recognition. IEEE Trans. Audio Speech Lang. Process. 21, 388–396 (2012)

3. Wang, D.: Pattern recognition: neural networks in perspective. IEEE Expert 8, 52–60 (2002)

4. Abdurahman, A., Jiang, H., Teng, Z.: Finite-time synchronization for memristor-based neural networks with time-varying delays. Neural Netw. 69, 20–28 (2015)

5. Yu, J., Hu, C., Jiang, H.: Projective synchronization for fractional neural networks. Neural Netw. 49, 87–95 (2014)

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