linear series
英 [ˈlɪniə(r) ˈsɪəriːz]
美 [ˈlɪniər ˈsɪriːz]
网络 线性系
双语例句
- Our scenario could also be loosely described in terms of a "domino effect", but the" domino effect "relies on a linear series of identical events.
不严格地说，上面的交通堵塞情景也可用“多米诺效应”来形容。但是，“多米诺效应”依赖于单一的一系列等同事件。 - Study on Non Linear Time Series Forecasting Approaches of Economic Growth
经济增长非线性时序预测方法研究 - Simultaneously, algorithm of general transient solution for an AC nonlinear resistance linear capacitance series circit is given by a power series.
同时，给出了交流非线性电阻&线性电容串联电路一般过渡过程的求解算法。 - Autocorrelation analysis of linear stationary time series
线性平稳序列的自相关分析 - The Study on Wavelet Transformation of Linear Time Series 'Process
关于线性时序过程的小波变换问题的研究 - A Kind of infinite Order Linear Time Series Model
一类无穷阶线性时序模型 - With the help of constructing matrix and applying elementary transfor-mation, this paper gives the simple and useful solution of the following three prob-lems in elementary number theory: greatest common factor and its times sum, in-definite equation, linear congruence expression series.
本文借助构造矩阵和施行初等变换，为初等数论中以下三个问题提供了简便实用的解法：最大公因数及其倍数和、不定方程，一次同余式组。 - The aim of this paper is to give a systematic account of asymptotic properties of the sample autocovariance, autocorrelation and partial autocorrelation functions of linear stationary time series.
本文的目的在于，对于线性平稳时间序列的样本、自协方差、自相关和偏相关函数的渐近性质，给出一个比较系统的描述。 - According to the principle of simple, simple neural networks are often effective in modeling and forecasting linear time series.
根据简单原则，通常选择简单的神经网络结构就足以很好的建模和预测线性时间序列。 - Compile the complete computer processor, from data analysis, data pretreatments and the complete computer processor was all compiled to linear a series of courses laying down to the trouble simulation checkout building pattern and checkout tactics, and makes the application of this method become simply workably;
编写了完整的计算机处理程序，从数据分析、数据预处理、线性建模、检测策略的制定到故障仿真检测的一系列过程都编写了完整的计算机处理程序，使这一方法的运用变得简单可行； - Wavelet Properties of the Many Parameter Linear Time Series Processes
多指标线性时序过程的小波特征 - A Square Consistent Regression Model with Linear Time Series Error
误差为线性过程时回归模型估计的均方相合性 - During the running course of large rotary machines, the data of intensity of oscillation tend to behave in non linear time series.
在大型旋转机组运行过程中，机组振动烈度值常常表现为具有趋向性的非平稳时间序列。建立灰色预测模型对烈度值进行预测。 - Finally, We designed a pseudo experiment to talk about the linear time series analysis based on neural networks theory.
最后，设计模拟实验，探讨有关神经网络的线性时间序列预测方面的问题，得出结论。 - The approximation and predication of non-linear time series by using wavelet neural networks
非线性时间序列的小波网逼近及其预报 - Identification of Linear Time Series Model and Bilinear Model Two Dimension Time Series Model and System Identification in Closed Loop
线性时间序列模型与双线性模型的识别研究 - Energy density and particle density in high energy heavy-ion collisions are calculated with infinite series expansion method and Gauss-Laguerre formulas in numerical integration separately, and the results of these two methods are compared, the higher terms and linear terms in series expansion are also compared.
分别用无穷级数展开方法和数值积分计算中的高斯拉盖尔求积法对高能重离子碰撞中能量密度和粒子密度数值进行计算，并对结果及级数展开中的高次项和一次项的大小进行了比较。 - The random weighting approximation for the distribution of the partial sum of a stationary linear series
平稳线性序列部分和分布的随机加权逼近 - Matrix Represention and Identity of Higher-order Linear Recursive Series
高阶线性递归数列的矩阵表示与恒等式 - In 1982, Engle, a famous professor, proposed the ARCH model, which is a dynamic and non-linear time series model, reflecting the particular and uncertainty relationship of eco-nomic variables: the variance changes over time.
1982年，Engle教授提出了著名的ARCH模型，它是一种动态非线性的时间序列模型，反映了经济变量之间的特殊的不确定的形式：方差随时间变化而变化。 - The traditional methods of time series prediction mainly focus on linear time series and weak nonlinear time series, so they lack effectiveness when they face complex nonlinear time series ( even chaos time series).
传统的时间序列建模主要针对线性或弱非线性时间序列，但是面对现实生活中大量的复杂非线性时间序列（甚至混沌）时则显得力不从心。 - The traditional variance-covariance matrix is calculated based on the linear relationship between series.
传统的方差协方差矩阵是基于序列之间是线性关系而计算的。 - We can use linear time series model such as ARMA model for decomposition of interest rates.
利率构成中预期和未预期部分的分解，可以采用线性时间序列模型：ARMA模型，对其进行刻画。 - An autoregressive model is used to fit the linear part of series; the neural network is used to fit the nonlinear part of series and to compensate the unknown disturbance.
利用一个线性AR模型拟合时间序列的线性部分，用神经网络拟合时间序列的非线性部分并补偿外界未知的扰动。 - The chapter fits daily yield of forward exchange rate in linear time series model and describes the forward exchange rate volatility by calculating the Green function.
研究对象与第二章相同，本章运用线性时间序列模型对远期汇率合约日收益率时间序列进行统计建模，通过计算格林函数研究远期汇率动态特征。 - In the basis of that, the autoregressive model, which is very mature in the theory of linear time series, was used for establishing the future cash dividend predicted model. Parameters were estimated by computer simulation.
在这个基础上，本文利用线性时间序列理论上十分成熟的自回归模型（AR）建立了未来现金股利的预报模型，并通过计算机模拟技术对参数进行了估算。 - For above reasons, traditional linear time series modeling is faced to more and more challenges.
基于上述原因，传统线性时间序列计量建模受到越来越多的挑战。 - One of the most common econometric models is the time series model. But with the evolving economic activities, the linear time series models which has been developed well, can not effectively explain some complex economic phenomena.
在计量经济学领域比较常见的模型之一就是时间序列模型，但是随着经济活动的不断发展变化，已经发展的较为完善的线性时间序列模型体系，不能有效地解释比较复杂的经济现象。 - However, traditional linear time series models ( such as AR ( p)/ ARMA ( p, q)) can not describe the properties of diversity and asymmetry of above economic behavior.
而传统线性时间序列模型（如AR（p）或ARMA（p，q））无法刻画上述经济变量运行所表现出的多样性和不对称性的特征。 - But most studies about Chinese monetary policy transmission mechanism are made by applying linear time series models, or Markov Switching Regime model or MSR model is also adopted in few nonlinear time series studies on Chinese monetary policy transmission mechanism.
而我国货币政策传导机制研究的相关文献，绝大多数是基于线性时间序列模型研究的。在少量基于非线性时间序列模型研究的文献中，主要是采用马尔可夫机制转换模型。