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。
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.
采用延迟坐标状态空间这种相空间重构方法，对非线性系统中的单一时间序列进行分析，从中恢复出系统内部存在的非线性动力学特性。
The delay-coordinate method is adopted to reconstructed the space phase, and to analyze the single time series in the non-linear systems and resume the nonlinear kinetics characteristics.
建立了一个时间序列的门限自回归的预测模型，为股票市场的非线性研究这一前沿领域作了一点新的尝试。
Set up one time door limit prediction model of autoregression of array, study for nonlinearity of stock market this front field make new try a bit.
利用目标的方位序列跟踪目标的运动参数是非线性领域的一个经典问题。
It is a classic problem to estimate motion-parameter of target based on bearing series in non-linear domain.
文章通过对一套市场价格预测模型体系的介绍，综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势，探索从多角度综合预测市场价格的问题。
In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
医院月门诊量是一个具有复杂的非线性组合特征的季节性时间序列。
The hospital outpatient amount is a seasonal time series with the character of complex nonlinear combination.
医院月门诊量是一个具有复杂的非线性组合特征的季节性时间序列。
The hospital outpatient amount is a seasonal time series with the character of complexive nonlinear combination.
门限自回归模型是一种新近创立的非线性时间序列摸型。
The threshold autoregressive model is a kind of non-linear time series model recently established.
医院门诊量是一个具有复杂的非线性组合特征的季节性时间序列。
The hospital outpatient amount is a seasonal time series with the character of complex non-linear combination.
本文将讨论综合运用非线性回归模型和时间序列分析的方法进行变形预报。
This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.
引入了非线性时间序列的局部投影消噪算法。
A local projective noise reduction for nonlinear time series is here introduced.
相关维数是定量描述非线性时间序列的一个重要参数，在脑电、心电等生物医学信号的特征描述方面得到了广泛地应用。
Correlation dimension is an important parameter to measure a nonlinear time sequence quantitatively, and it is widely used to analyze biomedical signal, such as EEG and ECG.
提出了一类用于非线性时间序列建模的混合自回归滑动平均模型(MARMA)。
A mixed autoregressive moving average (MARMA) model is proposed for modeling nonlinear time series.
由于股票预测是不确定、非线性、非平稳的时间序列问题，传统的方法往往难以取得满意的预测效果。
Because stock forecasting is a uncertain, nonlinear and nonstationary time series problem, it is difficult to achieve a satisfying prediction effect by traditional methods.
特别针对模型未知的非线性系统，研究了时间序列分析和神经网络相结合的故障预报方法。
The methods, which combine time series analysis and neural networks, are especially studied and applied in the model-unknown nonlinear system.
混沌和支持向量机理论为研究复杂多变的非线性水文时间序列开辟了新的途径。
Chaos and support vector machine theory has opened up a new route to study complicated and changeable non-linear hydrology time series.
可以用来研究时间序列的非线性工具有许多种，而其中非线性动力学方法则是近年来兴起的一个重要分支。
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.
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 paper focuses on the application of nonlinear dynamical methods in the analysis of time series.
引入非线性动力学理论和混沌时间序列分析方法考察强震地面运动加速度时程的非线性特征。
The nonlinear dynamic theory and the chaotic time series analysis method were adopted to examine the nonlinear characteristics of strong earthquake ground motions in this paper.
识别混沌是对非线性时间序列进行分析、预测、控制的基础。
How to identify chaos is the foundation of analysis, prediction and control of nonlinear time series.
本文提出了基于小波网络的非线性时间序列预报模型，探讨了非线性时间序列预报在故障预报中的应用。
Wavelet network based nonlinear time series prediction model is submitted, and nonlinear time series prediction and its application in fault prediction are discussed in this paper.
本文主要研究的是用非线性理论方法来研究生物序列的特性。
In this paper, we mainly study the property of biological sequences using the nonlinear theory methods.
该文介绍了内回归神经网络逼近非线性ARMA模型、用于时间序列预测的可行性。
This paper introduces the feasibility of inner recursion networks using in non-linear ARMA model approaching and time series forecasting.
根据大坝监测数据在时序上变化特征，应用了神经网络和基于遗传算法的时间序列的非线性预测模型。
Founded on change speciality of series of dam safety monitoring forecast, artificial neural networks and nonlinear models of time series based on genetic algorithms are applied.
时间序列的非线性检测对于非线性时间序列分析、混沌特性研究有着重要意义。
Test of nonlinearity of time series is very important for nonlinear time series analysis and study of chaotic dynamics.
采用非线性混沌时间序列预报，不同于传统的时间序列分析方法。
It differs from traditional time-sequence analysis methods in which nonlinear chaotic time-sequence prediction is used.
非线性理论在刻画金融时间序列的波动方面有着非常重要的作用。
The non-linear theory has been playing an important role in describing volatility of financial time series.
结合时空系统机制和历史资料的分析，建立非线性时空序列预测理论与方法。
Simultaneously, the forecast theory and method of nonlinear time series is established, which combines mechanism of the time space system with analyzing historical data.
目前，替代数据方法已逐渐成为时间序列的非线性成分检验中广为采用的一种方法。
Currently, the surrogate data method has become a widely used method in testing nonlinearity of time series.
目前，替代数据方法已逐渐成为时间序列的非线性成分检验中广为采用的一种方法。
Currently, the surrogate data method has become a widely used method in testing nonlinearity of time series.
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