Aim To study a class of delayed cellular neural networks.
目的研究一类细胞神经网络。
The stability of a general class of cellular neural networks is discussed.
主要研究了一类细胞神经网络的稳定性问题。
This paper studies the problem of globally exponential stability for the cellular neural networks.
主要考察了一类动态系统——带有不同时间尺度竞争神经网络的全局指数稳定性问题。
Some properties of cellular neural networks, which are fit for cryptography application, are discussed.
④讨论了细胞神经网络一些可应用于密码设计的性质。
This paper presents the stability theorem of cellular neural networks(CNN) with a multi-step output function.
本文给出了带阶梯输出 函数的细胞神经网络（CNN）的稳定性定理。
In this paper, the problem of periodic solutions and stability of Cellular Neural Networks with delay is studied.
本文研究了具有时滞的细胞神经网络周期解存在性和平凡解的稳定性问题。
In this paper, we lay primary emphasis on the template design and application in image processing of cellular neural networks (CNN).
本文主要研究的是细胞神经网络(CNN)模板的设计及其在图像处理上的应用。
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 research of cellular neural networks (CNN) has become a hot topic in the area of neural networks for its great potential applications.
由于细胞神经网络的潜在应用前景，它现已成为神经网络研究的新热点。
Utilizing the theory of the Drazin inverse, we studied the expression of the general state solution of Multi-layer Cellular Neural Networks.
针对多层细胞神经网络模型，分析了其一般状态解并对其动力值域作了估计。
It's necessary to induce delays, among cell when transmitting information in solving real problems. This is so called Delayed Cellular Neural Networks (DCNNs).
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。
The global asymptotic stability for a class of uncertain delayed cellular neural networks (DCNN) with discrete and distributed time-varying delays is studied in this paper.
研究了一类带有离散和分布时间滞后的不确定时滞细胞神经网络(DCNN)的全局渐进稳定性。
The paper given some sufficient conditions of complete stability of nonsymmetric cellular neural networks based on plenty of simulation and proves the case of two-cell CNNS.
通过大量的模拟仿真，提出了非对称细胞神经网络完全稳定的充分条件，并就二细胞神经网络的情况给予了证明；
The global asymptotic robust stability of interval cellular neural networks with S-type distributed delays is investigated. The convenient criteria and an example are presented.
研究了一类具有S -分布时滞的区间细胞神经网络的全局渐近鲁棒稳定性问题，得到了实用有效的判别准则并给出了实例。
Because the cellular neural networks are uniquely suitable for the high-speed parallel computation and easy to implement in hardware, this model has more potential in real-time image processing.
由于细胞神经网络具有高速并行运算、便于硬件实现等特点，因此这种方法在图像实时处理中也具有很大的潜力和应用前景。
By means of suitable Lyapunov functionals, the exponential stability of periodic solutions for shunting inhibitory cellular neural networks(SICNNs)with delays and variable coefficients is studied.
利用适当的李亚普若夫泛函，研究了时滞分流抑制型细胞神经网络的周期解的指数稳定性。
A major challenge in modern neuroscience is to understand how behaviors emerge from the underlying neural networks and their cellular constituents.
现代神经科学的一个重要课题是阐明复杂神经环路及其细胞组成形成行为的机制。
A major challenge in modern neuroscience is to understand how behaviors emerge from the underlying neural networks and their cellular constituents.
现代神经科学的一个重要课题是阐明复杂神经环路及其细胞组成形成行为的机制。
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