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1)  neutral-type cellular neural networks
中立型细胞神经网络
1.
Based on the Lyapunov-Krasovskii functional stability analysis and the linear matrix inequality(LMI) approach,the global exponential stability was discussed for the neutral-type cellular neural networks with discrete and distributed time-varying delays,a new sufficient condition was derived to assure the global exponential stability of the equilibrium.
利用Lyapunov-Krasovskii稳定性理论和线性矩阵不等式(LMI)处理方法,研究了一类具有混合时变时滞的中立型细胞神经网络的全局指数稳定性问题,获得了该模型平衡点全局指数稳定的一个新的充分条件。
2)  cellular neural networks with delay(DCNN)
时滞型细胞神经网络(DCNN)
3)  neutral-type Hopfield neural networks
中立型Hopfield神经网络
1.
Global asymptotic stability for neutral-type Hopfield neural networks with time-varying delays
时滞中立型Hopfield神经网络的全局渐进稳定性研究
4)  CNN [英][,si: en 'en]  [美]['si 'ɛn 'ɛn]
细胞神经网络
1.
Multi-scroll chaos generator based on HCNN;
滞环细胞神经网络实现多涡卷混沌发生器
2.
An Equalizer for GSM System Based on Hardware Annealing CNN;
基于离散时间细胞神经网络的GSM均衡器
3.
A symmetric image encryption algorithm that has a 128 bit key was proposed based on cellular neural network(CNN) and coupled map lattice(CML) model.
基于细胞神经网络(CNN)和耦合映像格子模型(CML),提出了一种密钥长度为128 bit的对称图像加密算法。
5)  cellular neural networks
细胞神经网络
1.
Image filters based on difference-controlled cellular neural networks;
基于差值控制细胞神经网络图像滤波器
2.
Sufficient condition of stability for cellular neural networks;
关于细胞神经网络稳定的一个充分条件
3.
Delay-dependent global asymptotic stability criteria for a class of cellular neural networks;
一类细胞神经网络的时滞相关全局稳定性判据
6)  Cellular Neural Network(CNN)
细胞神经网络
1.
The stability of the network and the parameter choice are the key problems when Cellular Neural Network(CNN) is used to pick up the image edge.
在应用细胞神经网络提取图像边缘时,网络的稳定性和参数的选择是关键。
2.
Cellular Neural Network(CNN) is a kind of neural network that the cell only communicates with its nearby ones.
细胞神经网络是一种只有最邻近的神经胞元才进行通信连接的神经网络,这种神经网络模型能够对二维图像进行有效的处理,它的软件与硬件实现也较容易。
3.
Second,a suitable template of cellular neural network(CNN) is designed to segment the images,and the morphology operation and the boundary direction code operation are carried out to get final results.
设计恰当的细胞神经网络(CNN)模板分割图像,采用形态学操作和对边缘链码序列的操作,分离黏连细胞,得到分割的最终结果。
补充资料:细胞的多样性神经胶质细胞




细胞的多样性  神经胶质细胞
  [图]图

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