基于离散时间观测的神经网络的随机镇定 |
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引用本文: | 黄慧卉,何秀丽,时正华. 基于离散时间观测的神经网络的随机镇定[J]. 云南民族大学学报(自然科学版), 2019, 0(1): 40-45 |
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作者姓名: | 黄慧卉 何秀丽 时正华 |
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作者单位: | 河海大学理学院 |
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摘 要: | 主要讨论了离散时间观测下的神经网络的随机镇定.首先,通过使用伊藤公式、Gronwall不等式、Burkholder-Davis-Gandy不等式等,证明得到离散时间观测的神经网络随机镇定的条件.其次,利用数值例子来对结论加以证明.
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关 键 词: | 神经网络 离散时间观测 随机镇定 |
Stochastic stabilization of neural networks based on discrete-time observations |
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Affiliation: | ,College of Sciences,Hohai University |
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Abstract: | The stochastic stabilization of neural networks under discrete-time observations is discussed. First,by using the Ito formula,the Gronwall inequality,Burkholder-Davis-Gandy inequality,the conditions of stochastic stabilization of neural networks based on discrete-time observations are proved. Finally,a numerical example is used to illustrate the conclusion. |
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Keywords: | neural network discrete-time observations stochastic stabilization |
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