时间序列分析方法是建立变形测量预测模型的主要方法。
Time series analysis method is a main method by which deformation forecasting model is established in deformation measurements.
验证了时间序列分析方法在非平稳随机信号处理方面的可靠性；
The reliability of the time-series analysis method in processing unsteady random signals is verited.
具体用到的分析工具有SWOT分析、时间序列分析方法等等。
The analyzing tools include SWOT Analysis, Time Series Analysis, etc.
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.
实例结果分析表明，随机集模型是一种很好的时间序列分析方法。
The example result shows that the random-sets method is a nice approach to time series analysis.
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。
Secondly the author analyzed the methods of grey system theory and tune series analysis, which are extensively used at present.
结合现代时间序列分析方法，并根据新息模型设计了状态最优滤波器。
An ARMA innovation model and the state optimal filter are designed by modern time series analysis method.
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。
Furthermore, a random drift error model for IFOG is built by the method of time series analysis.
介绍了符号时间序列分析方法及其统计量，对树层数进行了合理的选择。
The indirect detecting measurement for transient emissions is obtained. (2) The measurement and statistic parameters of symbolic time series analysis are introduced.
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。
The obtained conclusion provides a premise for the application of chaotic time series analysis in well-log facies recognition.
引入稀疏混沌时间短序列概念，提出了稀疏符号时间序列分析方法与实现流程。
The concept of sparse symbolic time series analysis was brought in and the method and procedure for implementation of the analysis was proposed.
以压气机出口总压作为喘振检测特征信号，采用时间序列分析方法建立了AR模型。
The compressor exit total pressure is adopted as a characteristic signal to detect surges. An ar (autoregressive) model is constructed with the time series analysis method.
用时间序列分析方法对镗削加工误差进行了分析和建模，建立了相应的AR误差模型。
Analysis and modeling are made for the boring error by using time sequential analysis way, and corresponding ar error model is established.
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。
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.
用PCR -单链构象多态性(SSCP)和DNA序列分析方法确定扩增序列突变情况。
Sequence variation was screened by means of PCR single stranded conformation polymorphism (SSCP) and DNA sequencing.
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.
在路基填筑施工过程中，根据沉降观测数据用时间序列分析方法建立等维信息动态预测模型。
During the filling construction of the roadbed the total settlement value could be predicted by using time series equal interval prediction model of recent information.
以贵州后寨典型岩溶小流域为例，采用时间序列分析方法分析了岩溶含水系统的水动力特征。
Using the Houzhai karst watershed in Guizhou Province as an example, a time series analysis method was used to study the hydrodynamic characteristics of the karst aquifer system.
本文就以多时相的NDVI数据为基础，通过时间序列分析方法，提取植被的季节性变化特征。
This paper is based on multi-temporal NDVI data and presents time series analysis, which is used for extracting seasonal information of vegetation in one year.
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。
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.
依靠非线性时间序列分析方法提取重构动力系统的非线性或混沌特征参数，可以达到识别的目的。
The targets recognition can be reached by extracting the features of the reconstructed dynamics using nonlinear methods.
目的探讨时间序列分析方法在时间序列资料中的应用，建立海西州地区胆囊炎发病率的预测模型。
Objective the research aims to investigate the application of time series analysis method on time series datum, and establish forecasting model on cholecystitis incidence rate in Haixizhou region.
基于状态空间分析，给出了连续随机信号建模的时间序列分析方法，并证明了参数估计的一致收敛性。
Based on the state space analysis, the time series analysis method for identification of the stochastic continuous signals, proved as consistent convergence, is given.
用平稳时间序列分析方法建立随机部分模型，并预测沉降随机部分值，二者之和即为某时期沉降预测值。
The random settlement could be gotten by random prediction model that is established by smooth and stable time series analysis method.
预测实例表明，相比于传统的时间序列分析方法，这种预测方法能对振动响应的趋势进行更准确的预测。
A forecast instance indicates that compared with the traditional time series analysis, the present forecast method can carry out more accurate forecast of vibration response trends.
对比研究了时间序列、空间序列、分形的分析体系，提出了在连续性基础上包容随机性的时空序列分析方法。
The time-space series analysis method containing randomicity on the base of continuity is formed after the analysis systems of time series, space series and fractals are compared.
实验和理论推导结果表明时间序列分析方法用在电流变传动机构的建模中是有效的、可信的，具有推广意义。
The auto-spectral density function is also derived. The experimental and theoretical results show that TSA method is efficient and convictive, and TSA method can be applied in other field…
针对这些问题，笔者通过使用定性和定量分析相结合方法来进行研究，在实证研究中，应用时间序列分析方法。
In light of these problems, the author use the approach of qualitative and quantitative analysis to research, and in empirical researches the author apply the method-time series analysis.
与随机时间序列分析方法预测结果比较，神经网络方法可以提高预测精度，预测误差也呈现出随季节发生变化的规律。
Compared to the prediction results of time series method, the prediction results of ANN method are of higher precision. The prediction errors varied with seasons.
与随机时间序列分析方法预测结果比较，神经网络方法可以提高预测精度，预测误差也呈现出随季节发生变化的规律。
Compared to the prediction results of time series method, the prediction results of ANN method are of higher precision. The prediction errors varied with seasons.
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