• This paper focuses on the application of nonlinear dynamical methods in the analysis of time series.

    本文主要研究非线性动力学方法时间序列分析中的应用

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  • This shows that the HEMA has great potential to provide a new and powerful tool for the analysis of time series.

    表明算法研究可时间序列分析提供一个崭新有力的工具

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  • In the analysis of time series, the surrogate data test is often performed in order to investigate nonlinearity in the data.

    替代数据检验法是检验时间序列是否存在确定性非线性成分重要统计方法。

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  • City gas load is a multi-mode and complicated engineering system. This paper analyzes and estimates the gas load of Shenzhen by using method of time series analysis.

    城市燃气负荷一个多工况复杂工程系统本文采用时间序列方法深圳的燃气负荷进行了分析预测

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  • In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.

    本文提出模糊时间序列分析理论方法,研究了模型形式及其参数估计问题

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  • Next, the thesis analysis the characterization of Roundtrip time delay (RTT). The RTT time series collected from the Internet are studied statistically by using both linear and nonlinear methods.

    其次,对网络时延(RTT)特性进行分析利用线性非线性方法互联网采集RTT时间序列进行统计分析

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  • This paper puts forward a seasonal neural network model to curve fitting analysis for nonlinearity and predict for the seasonal time series of outpatient amount.

    本文提出一种利用季节性神经网络模型医院门诊量进行非线性曲线拟合分析预测

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  • At present, outlier mining has attached a great importance in the field of time series analysis.

    目前时间序列分析领域孤立点挖掘越来越多的受到重视

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  • As one of the branches of statistics, time series analysis focuses on the variation characters and trend of discrete ordered data series mainly.

    时间序列分析统计学分支之一,它的研究对象是离散有序数列变化特征变化趋势

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  • This article discusses the main problem of time series analysis in the field of forecast application and programming.

    本文讨论主要问题时间序列分析预测领域应用编程实现

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  • Linear growth model is widely used in the analysis and forecast of time series in economic and biological fields.

    线性增长型模型广泛应用于经济领域对生物信号时间序列分析预报

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  • The obtained conclusion provides a premise for the application of chaotic time series analysis in well-log facies recognition.

    这一结论混沌时间序列分析方法应用测井曲线识别领域提供了前提条件

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  • The Dynamic time series period analysis and prediction model analyses a serial-typed time series from the point of statistics, finding out the law. thereby succeeding in predicting the future.

    动态时间序列周期分析预测模型是从数理统计角度对值为连续型时间序列进行分析发现规律,从而成功预测未来。

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  • The reliability of the time-series analysis method in processing unsteady random signals is verited.

    验证时间序列分析方法非平稳随机信号处理方面可靠性

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  • Finally, the results show the methods can effectively come into being regression analysis model of time-series data streams, and fulfill the prediction of future data streams.

    最后试验分析展示研究结果能够有效地产生时间序列数据回归模型实现数据流未来数据的预测

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  • This paper presents the time domain analysis of three orders discrete system by power series, which can study not only the time invariant system, but also the time variant system.

    利用幂级数的方法,线性离散系统进行时域分析方法不仅可以研究线性非时变离散系统,而且可以研究线性时变离散系统。

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  • We do the initial identification and the theoretical analysis with the autocorrelation function towards the time series of HSI daily closing quotation.

    利用相关函数恒生指数日收盘价时间序列中的自相似性进行初步的实证理论分析

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  • Based on the state space analysis, the time series analysis method for identification of the stochastic continuous signals, proved as consistent convergence, is given.

    基于状态空间分析给出了连续随机信号建模时间序列分析方法并证明了参数估计的一致收敛性。

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  • So the influence of high-frequency noise is analyzed by the analysis of power spectra, coherent structure, probability distribution of time series and differences of them.

    针对这些现象,从相干结构时间序列本身概率分布标量差的概率分布,分析了高频噪声影响

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  • The time series analysis with multiple equations is an important part of time series analysis, which is widely applied in the field of macro-economics and draws more and more attention in the world.

    方程时间序列分析时间序列分析重要组成部分宏观经济研究领域有着广泛应用越来越受到世界各国关注

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  • Through the simulating experiments and the analysis of Angle motion time series, the detailed analyzed conclusions about flight instability mechanism are presented.

    经过仿真实验分析运动时间序列给出了比较详尽飞行不稳定机制分析结果

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  • How to identify chaos is the foundation of analysis, prediction and control of nonlinear time series.

    识别混沌非线性时间序列进行分析、预测控制基础

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  • Then, we make prediction with moving exponential average model after the analysis of the travel time series. Finally, we present reasonable justification.

    通过分析行程时间时间序列时变特性,利用指数平滑模型进行预测最后提出合理的修正方法。

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  • The time-space series analysis method containing randomicity on the base of continuity is formed after the analysis systems of time series, space series and fractals are compared.

    对比研究了时间序列空间序列、分形分析体系,提出了连续性基础包容随机性的时空序列分析方法

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  • Methods Using the time series analysis of cucumber downy mildew disease, to explore the forecasting method from the Angle of methodology.

    方法:采用黄瓜病病情指数时间序列方法学角度进行预测方法研究

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  • Using the methods of time series spectral analysis and Kalman filter, this article discussed the additive problems of two stochastic processes, mainly Auto Regression Moving Average (ARMA) processes.

    本文利用时间序列分析卡尔曼滤波方法讨论两个随机过程主要是回归滑动平均(ARMA)过程,的叠加问题

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  • There are many branches in the field of time series analysis using nonlinear tools, and nonlinear dynamical methods is one of them that springs up in these years.

    可以用来研究时间序列非线性工具许多种,其中非线性动力学方法近年来兴起个重要分支

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  • On the basis of traditional time series analysis and modeling methods, the thesis puts forward a new complete and simply identification method by using ar model.

    本文传统时间序列分析建模方法基础上提出AR模型新的完整而又简单辨识方法

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  • On the basis of traditional time series analysis and modeling methods, the thesis puts forward a new complete and simply identification method by using ar model.

    本文传统时间序列分析建模方法基础上提出AR模型新的完整而又简单辨识方法

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