研究了一类具有连续分布延时的反馈神经网络模型的周期解的存在性和全局稳定性。
Both the global exponential stability and the existence of periodic solutions for a class of recurrent neural networks with continuously distributed delays (RNNs) are studied.
本文研究具有延时和反映扩散项的模糊神经网络的稳定性。
In this paper, we study the stability of fuzzy neural networks with delays and reaction-diffusion terms.
要制造高质量的微电子神经网络，研究带有延时的神经动力行为是特别重要的。
Study of neural dynamics with consideration of delays becomes particularly important in manufacturing high quality microelectronic neural networks.
而在处理实际问题时，有必要在细胞间引入信号传输延迟，这种带延迟项的系统称为延时细胞神经网络。
It's necessary to induce delays, among cell when transmitting information in solving real problems. This is so called Delayed Cellular Neural Networks (DCNNs).
神经网络的硬件实现常伴随反馈信号的延时，网络的应用需要对具有时滞反馈网络稳定性的充分研究。
The physical implementation of neural network follows delays of feedback signal and the application of network requires the study of the stability.
已有文献证明，延时细胞神经网络的收敛性与细胞神经网络收敛性研究的难度不是一个数量级。
The early literatures have shown that the research difficulty in delayed Cellular Neural Networks is much more than non-delayed one.
已有文献证明，延时细胞神经网络的收敛性与细胞神经网络收敛性研究的难度不是一个数量级。
The early literatures have shown that the research difficulty in delayed Cellular Neural Networks is much more than non-delayed one.
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