指出这类模型的应用前景和局限性，提出了时间序列分析模型与地下水动力学模型耦合应用的几种途径。
It points out the ap-plication prospect and limitations of these models - it presents several ways of coupling application of the time sequence analysis model with the groundwater dynamics 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。
A new stepped evolutionary scheme is designed to search the global optimal structure and parameters of the nonlinear time series model.
本文根据切削过程中一些参数的变化规律，从理论上首次提出了一种新的时间序列分析模型，即常系数固定价ARC(2)模型。
According to the change pattern of some parameters in metal cutting processes, this paper proposes for the first time a new time series analysis model-Autoregressive Constant model ARC (2).
利用回顾性时间序列分析模型，比较分析了1994年1月至1996年6月(共30个月)期间因胃肠道疾病而寻求就诊的次数与饮用水浑浊度变化的关系。
A retrospective time series analysis comparing physician office visits due to gastrointestinal illness and drinking water turbidity, for the time period from January 1994 to June 1996 (30 months).
本文提出了模糊时间序列分析的理论和方法，研究了模型形式及其参数估计问题。
In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.
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.
通过时间序列分析建立反映切削状态的数学模型，从动态数据中凝聚信息，构成用于判别的特征向量。
By time series analysis, we build models depicting the cutting tool states, coacervate information from dynamic date and construct feature vectors for discrimination.
文章分析了模型建立的目的和特征，阐述了时间序列分析的定义、分类、特征和应用领域。
This paper analyzed the aim and characteristic of model establish, expounded time series analytic definition, classification, feature and application domain.
为了解决日益严重的城市交通问题，本文根据交通流已被证明的混沌特性，尝试采用非线性混沌模型来分析交通流时间序列。
In order to solve serious urban transport problems, according to the proved chaotic characteristic of traffic flow, a non linear chaotic model to analyze the time series of traffic flow is proposed.
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.
刺槐蜂蜜日产量的时间序列分析AR(1)模型相关系数？
Robinia Robinia honey is estimated by time series analysis AR (1) model, related factors?
应用方差分析和时间序列模型建立了一套新的燃气轮机性能监测方法。
A new set of gas turbine performance monitoring methods has been established by using variance analysis and time sequence models.
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。
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.
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.
建立在时间序列分析基础上的中长期预报模型具有很好的预报效果，可以用于作业预报。
The mid and long term forecast model based on the time series analysis has a good forecast effect.
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.
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.
由于实际信号常常具有非平稳特征，直接应用AR模型进行时间序列分析，得不到理想的效果。
The real signals have often non-stationary characteristic, so if we analyse these time series using AR model directly, we cant obtain design result.
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.
通过分析行程时间时间序列的时变特性，利用指数平滑模型进行预测，最后提出合理的修正方法。
Then, we make prediction with moving exponential average model after the analysis of the travel time series. Finally, we present reasonable justification.
ARIMA模型；预测；时间序列分析；高血压；发病率。
ARIMA model; Predict; Time series analysis; Hypertension; Incidence.
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.
详细阐明了时间序列的基本思想、几种基本时序模型和时序动态特征，讨论分析了如何进行模型识别、模型参数计算和模型的定阶。
The basic idea and some kinds of the common time series models and the development characteristics of time series are explained in detail.
金融时间序列模型的变点分析是一类重要的统计问题，它引起众多学者的关注。
The change-point analysis in financial time series has been regarded as one of the core areas of research in statistics.
实例分析和计算表明，多层递阶时间序列模型能较好地反映参数的时变特性，取得较精确的沉降预测结果。
The case result shows that the multi-layer recursive time series model is effective in analyzing the time-dependent characteristics of parameters, and has considerable prediction precision.
利用微硅陀螺测量的数据，运用过程辨识理论和时间序列分析方法，建立了陀螺静态漂移的自回归（AR）模型，进而得到连续微分方程。
Based on measured data of micro silicon gyro and time-series theory, the AR model of gyro static drift is established, then the continuous-time differential equation is got.
动态时间序列周期分析预测模型是从数理统计的角度对值为连续型的时间序列进行分析，发现规律，从而成功预测未来。
The Dynamic time series period analysis and prediction model analyses a serial-typed time series from the point of statistics, finding out the law. thereby succeeding in predicting the future.
动态时间序列周期分析预测模型是从数理统计的角度对值为连续型的时间序列进行分析，发现规律，从而成功预测未来。
The Dynamic time series period analysis and prediction model analyses a serial-typed time series from the point of statistics, finding out the law. thereby succeeding in predicting the future.
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