Stability of Neutral Fractional Neural Networks with Delay

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  • 1. School of Institute of Mathematics and Finance,Chuzhou University2. School of Mathematical Science,Anhui University
LI Yan(1990-), female, native of Chuzhou, Anhui, a teacher of Chuzhou University, M.S.D., engages in functional differential equations; JIANGWei(1957-), male, native of Hefei, Anhui, a professor of Anhui University, Ph.D., engages in functional differential equations; HU Bei-bei(1986-), male, native of Chuzhou, Anhui, a teacher of Chuzhou University, M.S.D., engages in differential difference equations.

Received date: 2014-12-16

  Online published: 2020-11-03

Supported by

Supported by the National Natural Science Foundation of China(11371027,11601055); Supported by the Natural Science Foundation of Anhui Province(1408085QA06); Supported by the Chuzhou University Planning Project(2015GH29); Supported by the Natural Science Research Project of Anhui Province(KJ2015B02);

Abstract

This paper studies stability of neutral fractional neural networks with delay. By introducing the definition of norm and using the uniform stability, the sufficient condition for uniform stability of neutral fractional neural networks with delay is obtained.

Key words: fractional; delay; stability

Cite this article

LI Yan, JIANG Wei, HU Bei-bei . Stability of Neutral Fractional Neural Networks with Delay[J]. Chinese Quarterly Journal of Mathematics, 2016 , 31(4) : 422 -429 . DOI: 10.13371/j.cnki.chin.q.j.m.2016.04.011

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