离散时间细胞神经网络 DTCNN
本文主要研究了细胞神经网络无时滞和有时滞的几类模型的稳定性和基于离散细胞神经网络在图像处理方面的应用。
In this paper, some theorems of stability for several kinds of CNNs are proved and applications in image processing are also obtained.
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 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.
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.
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