Stream flows are sorts of complicated nonlinear time series.
河川径流是一种复杂的非线性时间序列。
RBF network can model nonlinear time series with high precision;
RBF网络对非线性时间序列具有很高的建模精度；
A local projective noise reduction for nonlinear time series is here introduced.
引入了非线性时间序列的局部投影消噪算法。
In this paper, the chaos theory is introduced to analyze nonlinear time series of rainfall.
本文将混沌方法引入具有非线性时间序列的降雨量分析。
A mixed autoregressive moving average (MARMA) model is proposed for modeling nonlinear time series.
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)。
How to identify chaos is the foundation of analysis, prediction and control of nonlinear time series.
识别混沌是对非线性时间序列进行分析、预测、控制的基础。
Next, the stock price prediction model is proposed on the base of nonlinear time series prediction theory.
根据部分可量化股价影响因素，选取预测模型的输入变量。
A new method is put forward, which can implement auto-extracting of chaos features of nonlinear time series.
提出了一种非线性时间序列混沌特征的自动提取方法。
A noise reduction method in nonlinear time series based on phase reconstruction and manifold learning was proposed.
提出了一种基于相重构和主流形识别的非线性时间序列降噪方法。
Test of nonlinearity of time series is very important for nonlinear time series analysis and study of chaotic dynamics.
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。
As a general method, the scheme has major theoretic valve and wide-ranging application for predicting of nonlinear time series.
该方案具有通用性，在非线性时序预测中具有重要的理论意义和实用价值。
A new stepped evolutionary scheme is designed to search the global optimal structure and parameters of the nonlinear time series model.
设计了模型结构和参数分别进化，共同识别方案，实现对非线性时间序列分析模型结构和参数进行全局最优搜索。
Objective: To explore the prospect of predicting disease incidence of the predictive model of nonlinear time series by BP neural network.
目的：探讨ANN时间序列预测模型在疾病发病率或死亡率预测上的应用前景。
We obtain some results as follows:In chapter 2, a new mixture autoregressive moving average model is proposed for modeling nonlinear time series.
提出了一类新的用于非线性时间序列建模的混合自回归滑动平均模型。
The LMBP neural network can predict nonlinear time series very well and the new method is effective for the fault prediction of nonlinear systems.
基于该网络的时间序列预测模型可以实现性能优越的非线性预报器，将其应用于非线性系统的故障预报能够取得良好的效果。
The course is the advanced part in a PhD econometrics sequence. It provides developments in theory and methods of nonlinear time series econometrics.
本课程是博士生计量经济学系列课程的高级内容，介绍非线性时间序列的理论和方法的前沿研究。
The stability conditions and the existing conditions of limit cycle of AR-type nonlinear time series models are given. Some special models are discussed.
为此给出了AR型非线性时间序列模型的稳定性条件及极限环存在条件，并对一些特殊模型进行了讨论。
Nonlinear time series analysis is applied in analyzing heart sounds for acquiring hemodynamic character of partly or completely occluded coronary artery.
本文通过非线性时间序列分析的方法来分析心音时间序列，获得有关冠状动脉阻塞的血液动力学特征信息。
Simultaneously, the forecast theory and method of nonlinear time series is established, which combines mechanism of the time space system with analyzing historical data.
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。
The result shows that, based on the one-dimensional monitoring data, the displacement can be predicted by the method of nonlinear time series, and the method has practical value.
计算结果表明，对于岩土体工程中的一维监测数据，通过非线性时间序列分析方法可以对其进行预测分析，该方法具有较高的实用价值。
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。
Different from the existent noise reduction methods in nonlinear time series, the method based on principal manifold learning emphasized more on the global structure of time series.
与现有的非线性时间序列消噪算法不同，基于主流形的消噪算法更强调时间序列的整体结构。
By using the method of nonlinear time series analysis and taking the Chinese language cognition as an example, the dynamic characteristics of language cognition system are discussed.
利用非线性时间序列分析方法，以汉语语言认知为例，探讨语言认知系统的动力学特性。
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.
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。
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.
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。
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。
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.
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.
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。
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