Both theory and experiment result prove that the time series modeling technique can show good effect fo...
理论和试验都证明了时序建模方法在工程图形和符号识别领域具有良好的应用效果。
In this paper, we discuss the applications of time series modeling method in the analysis of lubricating oil of mechanical equipment.
本文讨论了时序建模方法在机械设备滑油光谱分析中的应用。
The usual models predict the future exchange rate only based on the information provided by the history values such as time series modeling.
固有模型只是根据汇率的历史值所提供的信息预测未来的现汇汇率。如广泛应用的时间序列模型。
Time series modeling and identification techniques were analyzed and the ARMA time series model based on robust LS-SVM algorithm was proposed.
对时序数据建模与辨识技术进行了分析，提出了使用鲁棒LS-SVM算法建立ARMA时序预测模型。
This essay combines to the characteristics of oil output, forecasts the crude oil output with time series modeling approach and regression analysis method and has a high precision.
本文结合石油行业产量的特点，运用SAS系统中时间序列建模方法及回归分析方法对原油月产量作了预测分析，预测结果精度较高。
This method is based on digital signal analysis and time series modeling analysis, and can be applied to detection of measurement signal in engineering, analysis instrument or system.
这种基于数字信号分析和时序建模分析的方法，非常适应于工程测试信号检测、分析仪器和系统的诊断。
In this paper a new method of modeling forecasting is given for the time series by using the numerical solution of differential equation.
本文利用微分方程的数值解法对时间序列建模预测作了新的尝试。
The theory and method of modeling volatility persistence of time series is a powerful tool in analyzing the risk of economic and finance market.
时间序列的波动持续性建模理论和方法是经济金融领域风险分析的一种强有力的工具。
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.
本文在传统时间序列分析建模方法的基础上，提出了用AR模型的新的完整而又简单的辨识方法。
Stationary time series state space modeling method for the analysis of the transition process gyro.
将非平稳时间序列的状态空间建模方法用于陀螺过渡过程的分析。
It involves statistics, profiling and pattern recognition, behavioral analysis, time series analysis, predictive modeling, visualization, cause-and-effect studies and more.
它涉及到统计，分析和模式识别，行为分析，时间序列分析，预测建模，可视化，因果的研究等等。
Although the period of using ar, MR, ARMA, ARIMA modeling methods of time series analysis for observed seismic data processing is not long, it is believed that these methods are promising.
时间序列分析中的AR,MR,ARMA,ARIMA等建模方法应用于地震观测资料分析中尚为时不长，是很有发展前途的地震信息处理方法。
A state space approach for the modeling of nonstationary time series is presented.
非平稳时间序列的状态空间建模技术被用于陀螺漂移分析。
The basic principle and method of time series analysis and its application in thermal error modeling on NC machine tools were presented.
提出了采用时间序列分析法进行机床热误差建模的基本原理及方法，及其在数控机床热误差补偿建模中的应用。
In this paper a new method of modeling forecasting is given for the time series by using the numerical solution of differential equation. A practical example is also given.
本文利用微分方程的数值解法对时间序列建模预测作了新的尝试。文中用实例给以说明。
Numerical test results show that SVR has good ability of modeling nonstationary financial time series and good generalization under small data set available.
数值实验表明，SVR方法对非平稳的金融时间序列具有良好的建模和泛化能力。
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)。
Empirical evidences show that the distributions of high frequency time series are "fat tail" type distribution rather than normal distribution with "light tail" as those in traditional modeling.
经验表明高频时间序列的分布常是“肥尾”型的，而非传统建模中的“薄尾”型的正态分布。
The analysis and modeling of the financial time series is a very important study realm in financial metrology.
金融时间序列的分析与建模是金融计量学的一个很重要的研究领域。
A new neural tree for modeling the time-series forecasting is proposed in the paper.
提出了一种新的神经树模型来进行时间序列预测。
The Support Vector Regression(SVR)is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems.
用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
The application of time-series modeling and forecasting method to the spectral analysis for lubricating oil of mechanical equipment is discussed.
讨论了时序建模与预测方法在机械设备滑油光谱分析中的应用。
This article issues a new viewpoint and method in modeling for time series based on ar model. The method is able to give less calculating and to be programmed on computer.
提出了基于自回归(AR)模型对时间序列统一建模的新观点和方法，可大大减少计算量，并在微机上编程实现。
By using the data modeling methods of time series analysis, we can build the model of bias instability for the drift data of fiber optic gyro.
但通过时间序列分析中的数据建模方法可对光纤陀螺的零漂测试数据建立零偏稳定性数学模型。
In this paper a variety of time series nonlinear models are introduced and the idea and modeling method of the threshold autoregression are discussed in detail.
本文概述了时序分析的非线性模型类，详细叙述了门槛自回归模型的建模思想和方法。
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。
Other modeling techniques include ANOVA, time series, and data mining.
其他建模技术包括方差分析，时间序列，和数据挖掘。
This thesis studies on the prediction modeling method of water quality parameters based on normal time-series data in the background of the Three Gorges Reservoir.
本文以三峡库区常态水质参数时序数据为研究对象，进行水质参数预测建模研究。
The time series method is used to extract the regular part from the residual series received by modeling of observed data.
介绍了大坝观测资料统计模型的建模方法 ，并结合实例 ，探讨了观测资料缺值对统计模型精度的影响及其处理的方法 。
The varied feature of conditional distributions makes the HMDAR model capable of modeling time series with asymmetric or multimodal distribution.
HMDAR模型分布形式的灵活性使得它能够对具有非对称或多峰分布的序列进行建模。
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