1) Delayed cellular neural networks (DCNN)
时延细胞神经网络(DCNN)
2) DCNN
时滞细胞神经网络(DCNN)
3) cellular neural networks with delay(DCNN)
时滞型细胞神经网络(DCNN)
4) stochastic delayed cellular neural networks
随机延时细胞神经网络
1.
Almost sure exponential stability of a class of stochastic delayed cellular neural networks in the noise environment is researched by dividing the state space into sub-regions according to the characters of output functions of the network.
依据细胞神经网络的输出函数特征,将状态空间分解成子区域,研究了一类随机延时细胞神经网络在噪声环境下的几乎必然指数稳定性。
5) delayed cellular neural networks
时延细胞神经网络
1.
Global asymptotic stability of delayed cellular neural networks;
时延细胞神经网络的全局渐近稳定性
2.
The authors of the paper have obtained some new conditions of stability of delayed cellular neural networks by means of Lyapunov functional method.
利用 Ｌｙａｐｕｎｏｖ泛函方法，对一类时延细胞神经网络（ＤＣＮＮ）给出了若干新的稳定性准则，这些准则对设计全局稳定的神经网络，具有重要的理论和应用价值。
6) delayed cellular neural networks
延迟细胞神经网络
1.
Global asymptotic stability condition for a class of delayed cellular neural networks
一类延迟细胞神经网络全局渐近稳定性条件
补充资料：细胞的多样性神经胶质细胞
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说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条