Existence and exponential stability of anti-periodic solutions for interval general bidirectional associative memory neural networks with multiple delays
In this article, we will consider the a class of interval general bidirectional associative memory (BAM) neural networks with multiple delays. Based on the fundamental solution matrix of coefficients, inequality technique and Lyapunov method, we derive a series of sufficient conditions to ensure the...
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| Veröffentlicht in: | Advances in difference equations 2016-07, Vol.2016 (1), p.1-12, Article 190 |
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| creator | Li, Xiaofei Ding, Deng Feng, Jianzhong Hu, Songbo |
| description | In this article, we will consider the a class of interval general bidirectional associative memory (BAM) neural networks with multiple delays. Based on the fundamental solution matrix of coefficients, inequality technique and Lyapunov method, we derive a series of sufficient conditions to ensure the existence and exponential stability of anti-periodic solutions of the neural networks with multiple delays. Our findings are new and complement some previously known studies. |
| doi_str_mv | 10.1186/s13662-016-0882-7 |
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| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Analysis Associative memory Bidirectional Complement Delay Difference and Functional Equations Functional Analysis Inequalities Intervals Mathematics Mathematics and Statistics Neural networks Ordinary Differential Equations Partial Differential Equations Stability |
| title | Existence and exponential stability of anti-periodic solutions for interval general bidirectional associative memory neural networks with multiple delays |
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