Growth of entire Dirichlet series of order zero 关于零级整Dirichlet级数的增长性
The Growth of Dirichlet Series and Random Dirichlet Series of Infinite Order in the Half Plane 半平面上无限级Dirichlet级数与随机Dirichlet级数的增长性
The order and the low order of Dirichlet series of infinite order on the half plane 半平面上无限级Dirichlet级数的上下级
The Dirichlet Series and Random Dirichlet Series of Zero Order 零级Dirichlet级数与随机Dirichlet级数
The Approximation Problem of Dirichlet Series of Finite Order In The Half Plane 半平面上有限级Dirichlet级数的逼近问题
The Type of the Proximate Order of Dirichlet Series and Random Dirichlet Series of Finite Order 有限级Dirichlet级数及随机Dirichlet级数(R)准确级的型
The B-Valued Dirichlet Series of Infinite Order 无限级B-值Dirichlet级数
The Solution to a Series of the Order 1 Nonlinear Differential Equations 一类一阶非线性微分方程的求解方法
The Hyper-order of Random Dirichlet Series of Infinite Order in the Plane 平面上无限级随机Dirichlet级数的超级
Certainly the author forecast original data again using time series model in order to contrast and make a conclusion that the method using BP neural network is better. 当然,为了进行比较,本人又用时间序列模型对原数据重新进行了短期预测,从两种模型的短期预测比较中就可以看出采用BP神经网络模型预测更精确,效果更佳。
With the work above, we studied the effect to the dispersion curve made by the different Fourier series and order of| D|. 以上工作的基础上,讨论了傅立叶级数展开和D阶数的选择对色散曲线计算的影响。
In this paper, we study the relationship between the rearrangement of the coefficients of B-valued Dirichlet series and the order of growth of this series 'sum-function, and obtain the rearrangement characteristics of several kinds of B-valued Dirichlet series' sum-function with the same order of growth. 研究了B-值Dirichlet级数系数的重排与此级数的和函数的增长级的关系,获得了几类B-值Dirichlet级数的和函数的增长级保持不变的重排特征。
For certain random Dirichlet series of order ρ ( 0 < ρ < ∞) in the right half plane, almost surely every point on the imaginary axis is a Borel point with no exceptional small functions. 对于右半平面上的ρ(0<ρ<∞)级随机Dirichlet级数,它几乎必然以虚轴上每一点为其没有例外小函数的Borel点。
We constructed the non-linear dynamics model of the system by the computer, reconstructed the phase space of the system and made R/ S analysis for the time series in order to make nonlinear forecast. 用R/S方法对系统时间序列的演化特征进行分析论证,结果表明,这种相空间重构方法具有较好的非线性预报效果。
Landau theory is still used to analyze ferroelectric phase transition ( PT), in which the free energy ( FE) were expanded as power series of order parameter, and the conditions of the continuous PT and its stability conditions under the single variant situation were given. Landau理论是目前研究结构相变的基本理论,它将自由能按序参量的幂级数展开并给出了连续相变条件和单变数情形下的相稳定条件。
The mean value of hyperspherical series with order zero 关于零级超球级数的平均值
In this paper, we investigate the lower order of Dirichlet series of infinite order in the right-half plane. 本文主要研究半平面上无穷级Dirichlet级数及随机Dirichlet级数的下级增长性。
, for the Random Dirichlet series with order ρ( 0 < ρ < ∞), there is at least a Borel line of order ρ without finite exceptional value in every horizontal strip of width$ πρ$ a. s.. 在任何宽为πρ的水平带形内,至少有一条ρ级没有有穷例外值的Borel线。
The paper applies the revised GMDH method in prediction of the stock indexs which has chaotic character, comparing with the BackPropagation ( BP) and the local prediction method of chaotic series with order one, it shows better results. 该文将相空间重构引入了GMDH神经网络的建模中,并将之应用于道琼斯等股指的预测。同BP神经网络方法及一阶局域预测法相比,GMDH获得了更好的预测效果。
In this paper, we first study the growth and regular growth of Dirichlet series of finite order by type function in the plane and obtain two necessary and sufficient conditions; 本文首先利用型函数研究了全平面上有限级Dirichlet级数的增长性和正规增长性,得到了两个充要条件;
Series Third Order Phase-Locked Loops 串联型三阶锁相环
On the Lower Order of the Dirichlet Series and Random Dirichlet Series of Infinite Order 无穷级Dirichlet级数和随机Dirichlet级数的下级
The weight sensitive property in the fuzzy optimal model is discussed, and the weight perturbance equation is presented by using differential method. Two conditions are given: one is preserving the decisional series order, and the other is transferring order condition. 为研究多目标模糊优选模型的权敏感性质,利用微分方法导出了模糊优选模型的权扰动方程,进而给出了保持方案相对优属度序列不变的保序条件和易序条件。
A new computation method of Kolmogorov entropy based on the concept of general entropy was used to extract the complexity of time series in order to characterize the oil/ water two phase flow patterns, and was proved reliable by an example of the Mackey-Glass Equation. 采用一种基于广义熵概念的Kolmogorov熵计算方法来提取时间序列的复杂性特征,进而对油水两相流流型进行表征,用MackeyGlass方程作算例验证了该复杂性特征提取方法的可靠性。
The growth and the normal growth of Taylor series and random Taylor series of zero order are studied. The relation between the order of growth and the coefficient is obtained. 研究了泰勒级数与随机泰勒级数的增长性与正规增长性,并得出了它们与系数之间的关系。
On The Sum of Equivalent Sum Series of High Order 关于高阶等和数列求和
The regular growth of Dirichlet series of order zero and the growth of random Dirichlet series of order zero in the right half-plane were investigated. 研究右半平面内零级Dirichlet级数的正规增长性和零级随机Dirichlet级数的增长性。
At the same time, this paper uses the time series model in order to make the research results more accurate, which can reflect the important impact of the major tax reform. 同时本文采用时间序列模型,剔除了数据中的时间因素,使得研究结果更加准确,更能反映几次重大税制改革给我国带来的影响。
The present thesis extends Multi-resolution Analysis, which has been widely applied in engineering, hydrology and meteorology, to the multi-time scale analysis of economic time series in order to find out the regulations of the influence of various factors. 本文将已在工程、水文、气象等领域得到广泛应用的小波变换的多分辨分析原理,扩展到对经济时间序列的多时间尺度分析,以探求各种因素的影响规律。
To adopt a virtual enterprise model must face up to and solve its liquidity problems brought about by the series in order to continuously create value. 要采用虚拟企业模式就必须正视、解决其流动性所带来的系列问题才能持续性地创造价值。