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在时间序列分析中的应用。
This shows that the HEMA has great potential to provide a new and powerful tool for the analysis of time series.
这表明本算法的研究可为时间序列的分析提供一个崭新而有力的工具。
In this paper, the method TSD-PVAP, which is the pixel-oriented visualization analysis of time series data is introduced.
提出了一种基于像素的时序数据可视化分析方法TSD -PVAP。
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中是否存在确定性非线性成分的重要统计方法。
Two authors independently extracted data and assessed study limitations. Quantitative re-analysis of time series data was undertaken for studies with sufficient data.
两个作者分别摘录资料、评估研究的限制，如果量性的时间序列分析资料量足够则被纳入。
In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.
本文提出了模糊时间序列分析的理论和方法，研究了模型形式及其参数估计问题。
At present, outlier mining has attached a great importance in the field of time series analysis.
目前，在时间序列分析领域，孤立点的挖掘越来越多的受到重视。
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对医院门诊量进行非线性曲线拟合分析和预测。
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.
城市燃气负荷是一个多工况、复杂的工程系统，本文采用时间序列方法对深圳的燃气负荷进行了分析和预测。
Two kinds of models are derived; load prediction model based on building model recognition and load prediction model based on time series analysis.
提出了两种类型负荷预报模型，基于建筑模型辩识的负荷预报法和基于时间序列的负荷预报法。
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)特性进行了分析，利用线性和非线性方法对从互联网上采集的RTT时间序列进行统计分析。
This article discusses the main problem of time series analysis in the field of forecast application and programming.
本文讨论的主要问题是时间序列分析在预测领域的应用及编程实现。
Linear growth model is widely used in the analysis and forecast of time series in economic and biological fields.
线性增长型模型被广泛应用于经济领域和对生物信号的时间序列的分析和预报。
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，分析角运动的时间序列，给出了比较详尽的飞行不稳定机制分析结果。
Application of digital filtering and time series analysis to earthquake precursory processing is summarized in this paper.
本文概述了数字滤波和时间序列分析在地震前兆信息处理中的应用。
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.
本文利用时间序列谱分析和卡尔曼滤波的方法讨论了两个随机过程，主要是自回归滑动平均(ARMA)过程，的叠加问题。
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的时变特性，利用指数平滑模型进行预测，最后提出合理的修正方法。
Furthermore, a random drift error model for IFOG is built by the method of time series analysis.
此外，采用时间序列分析方法，建立了IFOG的随机漂移误差模型。
The obtained conclusion provides a premise for the application of chaotic time series analysis in well-log facies recognition.
这一结论为混沌时间序列分析方法应用于测井曲线识别领域提供了前提条件。
Whether based on the calendar time hypothesis nor based on the trading time hypothesis, time series analysis of stock prices have a premise that price movement evolve on the fixed length time.
不管是基于交易时间进程，还是基于日历时间进程，股价的时间序列分析都是基于固定的时间进程来研究价格变化规律。
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，试验分析展示了研究结果能够有效地产生时间序列数据流的回归模型和实现数据流未来数据的预测。
As one of the branches of statistics, time series analysis focuses on the variation characters and trend of discrete ordered data series mainly.
时间序列分析是统计学的分支之一，它的研究对象是离散有序数列的变化特征和变化趋势。
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，从谱、相干结构、时间序列本身的概率分布和标量差的概率分布，分析了高频噪声的影响。
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的角度对值为连续型的时间序列进行分析，发现规律，从而成功预测未来。
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.
多方程时间序列分析是时间序列分析的重要组成部分，它在宏观经济研究领域有着广泛的应用，越来越受到世界各国的关注。
The vibration signal is modeled and analyzed by using the technique of time series analysis, and the main factors of the surface waviness which cause the ball bearing vibration are detected.
该方法利用时间序列分析技术，对滚动轴承振动信号进行建模和谱分析，找出引起轴承振动的表面因素。
Adaptive signal deconvolution problem is reviewed by the new view point of the time series analysis.
本文从时间序列分析的新观点阐述自适应信号去卷问题。
Adaptive signal deconvolution problem is reviewed by the new view point of the time series analysis.
本文从时间序列分析的新观点阐述自适应信号去卷问题。
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