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High-order fuzzy cellular neural networks 高阶模糊细胞神经网络
Fuzzy cellular neural network 模糊神经网络
Exponential Stability and Periodic Solutions of Fuzzy Cellular Neural Networks with Transmission Delay and Variable Coefficients 具传输时滞和变系数的模糊细胞神经网络的指数稳定性及周期解
Fuzzy Cellular Neural Networks 模糊细胞神经网络
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。
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。
The methods of three-point interpolation for the subpixel image are realized based on the CNN(cellular neural network). 采用细胞神经网络(CNN)实现了对亚像元图像的实时插值,对插值的过程进行了详细的分析,并与基于亚像元图像的传统插值方法进行了对比。
The model of cellular neural network (CNN) is also a research hotspot in recent years. 细胞神经网络模型也是近些年的研究热点,目前在人工智能方面获得了广泛应用。
A three-dimensional quantum cellular neural network is proposed by using the quantum cellular automata as neuron cells. 摘要以量子细胞自动机为神经元，提出了一种三维的量子细胞神经网络结构；
Cellular Neural Network (CNN) is a parallel processor. In the erea of image processing, the CNN has a broad developing space. 细胞神经网络(CNN)是一种并行处理器,在图像处理上有很大的发展空间。
The researches and applications of image processing based on the cellular neural network (CNN) have made great progress- es. 基于细胞神经网络(CellularNeuralNetwork,CNN)的图像处理的研究和应用已取得了很大进展。
A two-channel secure communication system based on the synchronization of hyperchaos of cellular neural network(CNN) is presented. 本文提出了一种基于细胞神经网络超混沌同步系统的双通道保密通信系统。
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 this paper，we study the synchronization of hyperchaos in cellular neural network，and present a secure communication system based on hyperchaos of cellular neural network. 本文研究四阶细胞神经网络超混沌系统同步方法，提出了一种基于细胞神经网络超混沌同步系统的扩展频谱保密通信系统；
A cellular neural network(CNN) is a large-scale nonlinear analog circuit suitable for real-time signal and image processing. CNN can be used for high-speed parallel computation and is easy to be translated into a VLSI implementation. 细胞神经网络(CNN)是一种实时处理信号的大规模非线性模拟电路;它的连续时间特点以及局部互连特点使其可以进行并行计算;并且非常适用于超大规模集成电路(VLSI)的实现.
Cellular Neural Network (CNN) is an important branch of non-linear theory and an application-oriented artificial neural network. In recent years, many important advances based on CNN have been developed in communication signal processing field. 细胞神经网络(CNN)作为最易于VLSI实现的一类神经网络 ,是非线性理论的一个重要研究方向 ,近年来在通信信号处理领域取得了许多重要进展。
The piecewise linear saturation characteristics of cell in a cellular neural network(CNN) and phase plane analysis method are used to realize linear separable and nonseparable Boolean expressions. 本文利用细胞神经网络(CNN)的基本处理单元一细胞的分段线性饱和输出特性和相平面分析法实现了线性可分和线性不可分布尔函数。
A new algorithm of negative gray-scale image based on cellular neural networks (CNN) is proposed. 提出了一种基于细胞神经网络的灰度图像负片算法。
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 we face the problem of stability for monodimensional nonsym-metric Cellular Neural Networks(CNN). 本文主要讨论了一维非对称细胞神经网络(CNN)的完全稳定性问题。