1) 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。
2) stochastic delayed cellular neural network
随机时滞细胞神经网络
1.
This paper investigates the stability of stochastic delyed Hopfield neural networks and stochastic delayed cellular neural networks.
本文主要研究了随机时滞Hopfield神经网络和随机时滞细胞神经网络的指数稳定性。
3) 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。
4) Delayed cellular neural networks (DCNN)
时延细胞神经网络(DCNN)
5) stochastic BMA cellular neural networks
随机BAM细胞神经网络
1.
We study the exponential stability of a class stochastic BMA cellular neural networks,and establish two types of sufficient conditions for the exponential stability in the mean square by using the theory of lyapunov functionals,formula of It,and linaer matrix inequality approach.
研究了一类随机BAM细胞神经网络的指数稳定性,利用Lyapunov函数理论、It公式和线性矩阵不等式方法,建立了这种细胞神经网络均方指数稳定性判定的充分性条件。
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
[图]
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