| 一类具时滞双阈值二元离散神经网络模型的全局指数渐近稳定性 |
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| 引用本文： | 张弘强.一类具时滞双阈值二元离散神经网络模型的全局指数渐近稳定性[J].长沙理工大学学报(自然科学版),2007,4(1):80-83. |
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| 作者姓名： | 张弘强 |
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| 作者单位： | 长沙理工大学,数学与计算科学学院,湖南,长沙,410076 |
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| 摘 要： | 研究了具正自反馈双阈值二元离散神经网络模型的动力学性质.对设定的阈值范围,证明了模型的平衡解是全局指数渐近稳定的.
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| 关 键 词： | 神经网络 阈值 全局指数稳定 时滞 |
| 文章编号： | 1672-9331（2007）01-0080-04 |
| 修稿时间： | 2006-02-17 |
Global exponential asymptotical stability of delayed-feedback equations for a type of two-neuron network model with two thresholds |
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| ZHANG Hong-qiang.Global exponential asymptotical stability of delayed-feedback equations for a type of two-neuron network model with two thresholds[J].Journal of Changsha University of Science and Technology:Natural Science,2007,4(1):80-83. |
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| Authors: | ZHANG Hong-qiang |
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| Institution: | College of Mathematics and Computing Seienee,Changsha University of Science and Teehnology,Changsha 410076 ,China |
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| Abstract: | The dynamics of a type of two-neuron network model with two thresholds is studied. All the results show that its equilibrium solution is globally exponentially asymptotically stability for the prescribed limit threshold value. |
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| Keywords: | neural network threshold global exponential stability delay |
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