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函数的周期

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Without presuming the activation functions to be continuous, bounded and monotone nondecreasing, by utilizing linear matrix inequality and Cellina approximate selection theory in differential inclusion, a sufficient condition is provided to ensure existence of periodic solutions for that recurrent neural networks.

在并不要求激励函数连续、有界及单调非减的情况下,通过利用线性矩阵不等式和微分包含中的Cellina近似选择定理,得到了该神经网络模型存在周期解的充分条件。

The existence and stability of co-exist periodic solutions are investigated by using the bifurcation theory, the implicit function theorem and the method of asymptotic expansion.

运用分歧理论、隐函数定理以及渐近展开的方法,获得了共存周期解的存在性与稳定性的结果。

Therefore,in this thesis, by using of the Lyapunov function ,Lasalles in-variance principle and the analytical technique to construct return mappings[34-36],we describe some important properties of the dynamic behaviors of two class of discrete-time model of two-cell cellular neural networks ,which includes stability,asymptotic stability,the existence and attractability of periodic solutions.

因此,本学位论文利用Lyapunov函数和Lasalle不变集原理以及利用分析技巧构造回复映射等方法对两类二元离散细胞神经网络模型的动力学性态进行定性分析,讨论了这些模型的稳定性、渐近稳定性、周期解的存在吸引性,全文共分三章。

The proposed method first employs covariance matrix tapers to obtain the interference covariance function and its corresponding spatial spectrum in non-ideal scenarios.

该方法首先利用协方差矩阵加权得到非理想情况下的干扰协方差函数和对应的空间谱,然后根据周期延拓后的干扰空间谱估计干扰自由度。

The sufficient conditions for guaranteeing the permanence of the system and the existence and uniqueness of periodic solution having globally asymptotical stability are obtained by using the extremum principle,fixed point theorem and V function method s together.

讨论一类具 Holling 类功能反应和放养的捕食链非自治扩散系统,应用极值原理和不动点定理及 V函数法,得到该系统的一致持久性以及存在唯一全局渐近稳定周期解的充分条件。

Meyer, working independently, proposed the periodic law.

在现代,该法律规定的性能的元素的原子数周期函数。

In chapter five,we study a general cosine-forced stochastic system and derive the equilibrium time correlation function using the perturbation theory and the linear response theory respectively.

在第五章中,我们分别用微扰理论和线性相关理论研究了有余弦周期信号输入的随机系统的动力学量的平衡时间关联函数。

Rupture of fractal curves is controled using support vector machine function regression in the later period of fractal interpolation.

为消除分形插值曲线的断裂和周期现象,论文提出在分形插值的后期使用基于统计学习理论的支持向量机函数拟合方法。

This thesis,starting from working out the arrest points and the infl ection points of the function curves of the grey mathema tical model GM(1:1 )and its residual correction model and residual period model, derives the conditions for empliying these grey models to obtain a higher class of accuracy,thus enabling the user to decide which model should be used in the light of the state of given initial sequency data.

从求得灰色数学模型GM(1.1)及其残差指数修正模型和残差周期修正模型函数曲线的驻点与拐点入手,导出使用这些灰色模型取得较高精度的条件,让使用者可依据初始序列数据的态势决定采用哪种数学模型,并且在结果未揭示以前便可大体上估计到拟合精度是否令人满意。

Using the discrete dynamical system determined by the stroboscopic map, an exact 1-periodic solution of the system which is with Beverton-Holt function and the threshold conditions for its stability are obtained.

运用由频闪映射决定的离散动力系统,得到了具 Beverton-Holt 功能函数系统的精确1-周期解,并讨论了它在临界条件下的稳定性。

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