| 无界可变延迟神经网络的一般稳定性(英文) |
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| 引用本文： | 武以敏.无界可变延迟神经网络的一般稳定性(英文)[J].应用数学,2012,25(1):174-180. |
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| 作者姓名： | 武以敏 |
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| 作者单位： | 宿州学院数学与统计学院,安徽宿州,234000 |
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| 摘 要： | 本文研究了无界延迟随机神经网络的稳定性,采用的主要技巧是Razumikhin方法,得到了p阶矩一般衰减率稳定性与几乎必然轨道一般衰减率稳定性.借助于M矩阵技巧使Razumikhin定理更便于应用.
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| 关 键 词： | 随机神经网络 无界延迟 Razumikhin型定理 稳定性 |
General Decay Stability of Stochastic Neural Networks with Unbounded Time-varying Delay |
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| WU Yimin.General Decay Stability of Stochastic Neural Networks with Unbounded Time-varying Delay[J].Mathematica Applicata,2012,25(1):174-180. |
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| Authors: | WU Yimin |
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| Institution: | WU Yimin(Department of Mathematics of Suzhou College,Suzhou 234000,China) |
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| Abstract: | The stability problem for stochastic neural networks with unbounded time-varying delay is investigated.The main technique employed in this paper is Razumikhin method.Both p-th moment stability and almost sure stability with general decay rate are obtained. |
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| Keywords: | Stochastic neural network Unbounded delay Razumikhin-type theorem Stability |
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