edge is an important feature of images. there are many ways to detect the edge of animage. in this paper, the cellular neural network is proposed for edge detection.
边缘是图象的重要特征,采用细胞神经网络提取图象边缘时,网络参数的选择是一个重要问题。
a parallel recursive algorithmdiscrete-time cellular neural network is proposed. a hole filling template is designed based on comparison principle of ordinary differential equations.
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.
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。
however, the results about the dynamic properties of cellular neural network with impulse are still relatively rare.
但是对于具有脉沖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。
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。
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,比如脉沖现象。
cellular neural network (cnn)is a kind of large-scale nonlinear analog circuit.