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。
Thus, it is imperative to develop a series advanced analysis instruments of marketing and decisive methods to improve the scientific level of management and decision-making on enterprise marketing.
为此，急需开发先进的市场营销分析工具和营销决策方法来提高企业营销管理和决策的科学化水平。
Then with the help of the mathematical analysis of the modulation methods in the series resonance circuit and the simulation results, a suited modulation method is chosen.
对串联谐振逆变电路的几种调功方式进行数学分析和仿真研究，比较它们之间的优缺点，结合分析的结果确定调功方式。
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。
The author analyses the cost-efficacy of the four series products of air-cooled aircraft conditioner in accordance with GJB1364, the analysis methods of the cost-efficacy of equipment.
作者按GJB1364装备费用—效能分析方法，对空气制冷式飞机空调车四个系列产品进行费用—效能分析。
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。
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。
The methods, which combine time series analysis and neural networks, are especially studied and applied in the model-unknown nonlinear system.
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。
There are traditional model methods of forecasting short-term load, such as time series, regression analysis, and so on.
电力系统短期负荷预测使用的方法有传统建模方法，诸如时间序列、回归分析等方法。
Combining the advantages of regression analysis methods and time series forecast model with equal step length, a compound forecasting model was set up , and was tested with engineering data.
结果显示，把最小二乘支持向量机回归预测与等步长时序预测相结合的预测方法应用于地下工程围岩位移监测数据的分析及预测是可行的；
Wind speed time series obtained with numerical simulation methods are adopted in structural analysis of wind-induced vibration.
基于数值模拟方法的风速时程曲线在桥梁结构风振分析中被广泛采用。
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。
In this paper, the data of body temperature from experiment is studied by using the methods of hypothesis test and time series analysis, then the mathematical basis of identifying the nature is found.
本文由试验得到的体温数据，分别用假设检验和时间序列分析方法，找到辨别寒热性的数学依据。
By using methods of literature and logic analysis, this paper mainly studies the internationalization of the traditional series of skills and tricks in Chinese martial arts.
运用文献资料和逻辑分析的方法，对传统武术套路国际化推广进行了研究。
The methods of analysis on series insulation strength for continuous, interleaved and intershield winding are introduced respectively. The analysis on series insulation at VFTO is discussed.
提出了连续式、纠结式和内屏蔽结构变压器绕组纵绝缘强度的分析方法，对特高压暂态过电压(VFTO)下变压器绕组纵绝缘强度分析进行了探讨。
Secondly the author analyzed the methods of grey system theory and tune series analysis, which are extensively used at present.
然后详细分析了目前比较活跃的灰色理论预测和时间序列分析方法。
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。
The simulation and analysis on HCP-based and ICSP and MBD based configuration optimization methods are also performed by using Heli H2000 series forklift.
本文还以合力H2000系列叉车为例，对基于HCP网的优化配置方法以及基于ICSP和MBD的交互配置方法进行了仿真验证。
Similarity measure is a key technology of time series mining, whose existing methods are not available for the analysis of small-scale multivariate time series.
相似性度量是金融时间序列挖掘中的一项关键技术，但现有的度量方法不适合分析小规模的金融多元时间序列。
Furthermore, a series of methods for analysis and characterization of the prepared matrix or adsorbent were established.
此外，还建立了一系列表征所制备的扩张床基质和吸附剂的方法。
Traditionally, time series analysis involves building an appropriate model and using either parametric or nonparametric methods to make inference about the model parameters.
传统的时序分析中，通常要建立合适的模型，要么首先假设特定的时序分布，要么用非参数估算模型来估计参数。
In order to integrate results from individual microarray analysis to give a reliable conclusion, we propose a series of gene-set-based statistical methods.
为了整合不同基因芯片数据集的分析结果从而得出可靠的结论，本文提出了一套基于基因集的基因芯片数据分析方法。
The result shows the three methods can be used in deformation series-data character analysis, and to determine variability, chaos and fractal dimension character.
结果表明，这三种方法用于形变数据序列的性态特征分析是可行的，可以用来确定沉降数据序列的变异性、混沌性及分形维特征。
And some existing methods of oil demand forecast are analyzed, such as Time Series Analysis, Artificial Neural Network method, Gray System method and Consumption elasticity coefficient method.
并且分析了现有的一些石油需求预测方法，这些方法包括：时间序列法、人工神经网络方法、灰色系统法、弹性系数法等。
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。
Deals with different disposing methods in the application of mesh analysis and node analysis while meeting series-connection resistors connected with current source.
阐述了在应用网孔电流法、结点电压法分析电路时，如遇到与电流源串联的电阻，处理的方式是不同的。
Storage requirements of precise integration method were discussed. Series solution of the method suits dynamic response analysis of large-scale structures much better than other methods.
讨论了精细积分法的存储需求问题，指出级数解更适合计算大型结构的动力响应分析。
Analysis of numerical methods with rc, RL series circuit transient process and numerical methods in analysis of other complex circuit application examples.
用数值计算方法分析RC、RL串联电路暂态过程及数值计算方法在其他复杂电路分析中的应用举例。
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。
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。
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