数学季刊 ›› 2016, Vol. 31 ›› Issue (4): 422-429.doi: 10.13371/j.cnki.chin.q.j.m.2016.04.011

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带时滞的中立型分数阶神经网络的稳定性

  

  1. 1. School of Institute of Mathematics and Finance,Chuzhou University2. School of Mathematical Science,Anhui University
  • 收稿日期:2014-12-16 出版日期:2016-12-30 发布日期:2020-11-03
  • 作者简介: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.
  • 基金资助:
    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);

Stability of Neutral Fractional Neural Networks with Delay

  1. 1. School of Institute of Mathematics and Finance,Chuzhou University2. School of Mathematical Science,Anhui University
  • Received:2014-12-16 Online:2016-12-30 Published:2020-11-03
  • About author: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.
  • 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);

摘要: 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.

关键词: fractional, delay, stability

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

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