All the ca rules can be implemented with Cellular Neural Network (CNN).
所有的CA规则都可以用细胞神经网络(CNN)实现。
Cellular neural network (CNN) is a kind of large-scale nonlinear analog circuit.
细胞神经网(CNN)是一种大规模非线性模拟电路。
In this paper a two-layer cellular neural network (CNN) is used to separate blind signals.
本文用双层的细胞神经网络(CNN)进行盲信号分离。
However, the results about the dynamic properties of cellular neural network with impulse are still relatively rare.
但是对于具有脉冲的细胞神经网络所具有动力学性质，现阶段所得的成果还比较少。
At the same time, the real world also ask cellular neural network to solve more and more problems, such as impulsive phenomenon.
同时现实生活也给细胞神经网络提出了更多的问题，比如脉冲现象。
The cellular neural network (CNN) is a powerful tool for image processing and has been used for artificial vision, video compression, image fusion, motion and pattern recognition.
细胞神经网络(CNN)是图像处理的有力工具。它已用于人工视觉，录像压缩，图像融合、运动和图形识别等领域。
In Chapter 3, we discuss the existence and global exponential stability of periodic solutions for discrete-time cellular neural network with mixed delays and variable coefficients.
第三章对变系数离散时间混合时滞细胞神经网络模型周期解的存在性与全局指数稳定性进行了讨论。
In Chapter 3, we discuss the existence and global exponential stability of periodic solutions for discrete-time cellular neural network with mixed delays and variable coefficients.
第三章对变系数离散时间混合时滞细胞神经网络模型周期解的存在性与全局指数稳定性进行了讨论。
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