全局指数稳定 global exponential stability英语短句 例句大全

全局指数稳定,global exponential stability

1)global exponential stability全局指数稳定

1.This paper studies the existence andglobal exponential stability of equilibrium for high-order neural networks with time-varying delays.文章首先利用Brouwer不动点定理得到了平衡点存在性的充分条件,然后利用不等式分析技巧得到平衡点的唯一性及全局指数稳定性的一个新的判据。

2.In the paper,under the hypothesis that the nonlinear neural active fanctions are Lipschtz condition,theglobal exponential stability is stuied for the following class of delay Hopfield neural networks by a Lapunov functional and applying inequality:xi(T)=-cixi(t)+n∑j+1aijfj(xj(t))+n∑ijbjfj(xj(t-τj))+Ii,1,2,…,n.在非线性神经激励函数是Lipschitz条件下,通过引入Lyapunov函数,用不等式等方法,得到了该系统的平衡点是全局指数稳定的条件。

3.The dynamics—theglobal exponential stability of the competitive neural networks with different time scales is mainly discussed.主要考察了一类动态系统——带有不同时间尺度竞争神经网络的全局指数稳定性问题。

英文短句/例句

1.Global exponential stability in Lagrange sense for a class of neural networks一类神经网络的Lagrange全局指数稳定性

2.Global Exponential Stability of a Class of BAM Neural Networks一类BAM神经网络的全局指数稳定性

3.Global exponential stability analysis of the competitive neural networks;一类竞争神经网络的全局指数稳定性分析

4.Global exponential stability of a kind of nonlinear integro-differential equations;一类非线性积分微分方程的全局指数稳定

5.LARGE Globally Exponential Stability of Recurrent Neural Networks with Time-Varying Delay;变时滞循环神经网络模型的全局指数稳定性

6.Exponential Stability of Self-connection BAM Neural Networks;时延双向联想记忆器的全局指数稳定性

7.New Criteria of Global Exponential Stability of Hopfield Neural Networks;连续Hopfield神经网络的全局指数稳定性的新判据

8.Global Exponential Stability for Neutral-Type Neural Networks with Hybrid Time-Varying Delays混合变时滞的中立型神经网络全局指数稳定性

9.Global Exponential Stability of Fuzzy BAM Neural Networks with Variable Delays变时滞模糊BAM神经网络的全局指数稳定性

10.Global Exponential Stability of Hopfield Neural Networks with Delays and Impulses脉冲时滞Hopfield神经网络的全局指数稳定性

11.Global Exponential Stability of Cellular Neural Networks with S-typed Distributed DelayS-分布时滞细胞神经网络的全局指数稳定性

12.Global Exponential Stability of Stochastic Recurrent Neural Networks with Time-varying Delays变时滞随机递归神经网络的全局指数稳定性

13.Research to the Global Exponentioal Stability of Time-varying Delayed Cellular Neural Networks变时滞细胞神经网络的全局指数稳定性研究

14.On the Global Exponential Stability and Convergence of Neural Networks with Time-Varying Delays变时延神经网络的全局指数稳定性及收敛性

15.Global Exponential Stability of a Class of Nonlinear Dynamical Systems with Time Delays一类时滞非线性动力系统的全局指数稳定性

16.Global Exponential Stability in Variably Delayed Hopfield Neural Network Models变时滞的Hopfield网络模型的全局指数稳定性

17.Globally Exponential Stability for Hopfield Neural Networks with Varying Delays变时滞神经网络模型的全局指数稳定性

18.Global Attractivity and Global Exponential Stability for Hopfield Neuranl Networks with Delay;时滞Hopfield神经网络的全局吸引性和全局指数稳定性

相关短句/例句

globally exponential stability全局指数稳定

1.New sufficient conditions ofglobally exponential stability of generalized neural networks with time delays were presented by using Liapunov algorithm,linear matrix inequality and integral inequality.对于具有时滞的广义神经网络,利用Liapunov函数方法、线性矩阵不等式以及积分不等式等技巧,给出了该神经网络模型的平衡点的存在性、惟一性以及全局指数稳定的一些充分条件。

2.Using the technique by virtue of Young and Halanay inequalities,some new sufficient criteria are given to ensure the uniqueness of equilibrium point andglobally exponential stability.针对一类多时变时滞细胞神经网络,利用Young不等式和Halanay不等式技术,给出了保证平衡点惟一性和全局指数稳定性的几个充分判据。

3.Employing the extended Halanay s delay differential inequality and Lyapunov functions, we studyglobally exponential stability of equilibrium states of cellular neural networks with time-varying delays.本文利用Halanny时滞微分不等式和Lyapunov函数来研究具有可变时滞的细胞神经网络的平衡状态的全局指数稳定性,得到了不依赖于含任何未知函数存在性的简便代数判据,为实际应用提供方便。

3)globally exponentially stable全局指数稳定

4)global exponential stability全局指数稳定性

1.Periodic Solutions、Almost Periodic Solutions and Global Exponential Stability for Cellular Neural Networks with Delays;时滞细胞神经网络的周期解、概周期解和全局指数稳定性

2.Based on the relationship between matrix and symmetric matrixglobal exponential stability of the discrete-time neural networks model and the result of exponential convergence rate were obtained by using the characteristics of eigenvalues of a positive definite matrix and introducing a proper factor.利用矩阵与对称矩阵的关系和正定矩阵特征值的性质,通过引入一个适当的因子,得到了该离散型神经网络模型是全局指数稳定性和指数收敛率的结果。

3.Based on the extended Hanalay s inequality and the upper-right derivative,theglobal exponential stability for the second order Hopfield neural networks with time delays was investigated.在不要求连接权矩阵的对称性和输入输出函数的可微性与单调性,只要求系统的参数满足是一个M矩阵的情况下,利用推广的Hanalay不等式和上右导数导得系统全局指数稳定性的若干充分条件。

5)globally exponential stability全局指数稳定性

1.The existence,uniqueness andglobally exponential stability of the equilibrium point of a dynamic neural network with distributed delays were studied without assumption of boundedness and differentiability of activation functions.在没有假定激励函数有界、可微的情况下,研究包含分布时滞的动态神经网络平衡点的存在性、唯一性和全局指数稳定性。

2.By using Brouwer s fixed theorem, generalized Halanay s delay differential inequality and Dini s derivative, the existence of stationary point andglobally exponential stability of recurrent neural networks with time-varying delay are studied.利用Brouwer不动点定理,推广的Halanay时延微分不等式及Dini导数,讨论了具有变时滞循环神经网络模型的平衡点的存在性和全局指数稳定性,在不要求激活函数连续可导的条件下,得到了非常简单实用的判别条件。

3.This paper studies the problem ofglobally exponential stability for the cellular neural networks.综合运用矩阵范数、算子测度以及 Lyapunov函数法 ,讨论了细胞神经网络的全局指数稳定性 ,给出了一些较简洁的新的充分判据。

6)exponential stability全局指数稳定性

1.Some new sufficient conditions for the existence and globalexponential stability of a unique equilibrium of the impulsvie delayed model were obtained,without assuming monotonicity or differentiability of the activation functions and subjected to impulsvie state at fixed time.研究了一类新的具有脉冲的时滞Hopfield神经网络系统模型,引入了新的脉冲条件,在不假设激励函数的可微性、单调性的条件下,得到了系统平衡点的存在性、唯一性及全局指数稳定性的充分条件和指数收敛速率,且所得结果改进了一些已知文献的结论。

2.With the theory of fixed point and delay differential inequality,some sufficient condtions for existence and uniqueness of equilibrum and globalexponential stability of the delay Cohen-Grossberg neural networks are obtained.给出判定模型平衡点存在唯一性和全局指数稳定性的几个充分条件,这些条件取消了权矩阵(Tij)n×n对称性的假设,推广了已知文献的一些结果,使模型的应用范围更加广泛。

3.The globalexponential stability of cell neural networks with time-varying delays is discussed.利用矩阵测度、Liapunov函数和Halanay时滞不等式的方法研究了具有变时滞的细胞神经网络模型平衡点的全局指数稳定性问题。

延伸阅读

迁移效率指数、偏好指数和差别指数迁移效率指数、偏好指数和差别指数迁移效率指数、偏好指数和差别指数迁移效率指数是用于测定两地间人口迁移效率的指标。它是净迁移对总迁移之比。计算公式为:EIM一摇寿纂拼又‘。。上式中，}人么夕一材方}为i、]两地净迁移人数;从少+材户为i、]两地总迁移人数;El入了为迁移效率指数。EIM的取值范围为。至100，如某一地区的值越大，反映迁移的的影响也越大。如果计算i地区与其他一切地区之间的人口迁移效率指数EIM厂，则:}艺材。一芝Mj、}EIM汀艺。+乏M，(j笋i)迁移偏好指数是从一个地区向另一地区的实际迁移人数与期望迁移人数之比。计算公式为:____M.___材尸2行一:一二子一一不石一二，么M“ 了厂‘.厂‘、八 }二不十二六二1、厂厂7上式中，M“为从i地迁到j地的实际迁移量;艺材。为总的人口迁移量;尸为总人口;M尸I，j为迁移偏好指数。通过计算迁移偏好指数，可以反映各地区的相对引力。迁移差别指数是反映具有某种特征的迁移人口与非迁移人口区别的指数。例如，专业技术人员的人数所占比重，各种文化程度人数所占比重等，以便研究人才流失和其他间题。计算公式为:M‘从IMD、一翌不丝xl。。 .义V‘ N上式中，M为迁移人数;M，为具有i特征的迁移人数;N为非迁移人数;N‘为具有i特征的非迁移人数;了八了D、为迁移差别指数。