Therefore, we use ARIMA time series analysis model to predict CSI 300 Index, which is a useful reference for the company and investors when making related decisions.
因此，我们用时间序列分析中的ARIMA模型来对沪深300指数建立模型，希望为企业和投资者在进行相关决策时提供有益的参考。
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).
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。
In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.
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。
Two kinds of models are derived; load prediction model based on building model recognition and load prediction model based on time series analysis.
提出了两种类型负荷预报模型，基于建筑模型辩识的负荷预报法和基于时间序列的负荷预报法。
This paper puts forward a seasonal neural network model to curve fitting analysis for nonlinearity and predict for the seasonal time series of outpatient amount.
本文提出一种利用季节性神经网络模型对医院门诊量进行非线性曲线拟合分析和预测。
Linear growth model is widely used in the analysis and forecast of time series in economic and biological fields.
线性增长型模型被广泛应用于经济领域和对生物信号的时间序列的分析和预报。
The disadvantage of establishing ARMA model with traditional time series analysis is analyzed; a new model building method based on judgment rules and long autoregression is put forward.
分析了传统时间序列分析法建立ARMA模型的不足，提出了一种利用模型阶数判断准则和长自回归法建模的新方法。
Then, we make prediction with moving exponential average model after the analysis of the travel time series. Finally, we present reasonable justification.
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。
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。
An ARMA innovation model and the state optimal filter are designed by modern time series analysis method.
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。
Furthermore, a random drift error model for IFOG is built by the method of time series analysis.
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。
The mid and long term forecast model based on the time series analysis has a good forecast effect.
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。
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。
This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.
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。
The random settlement could be gotten by random prediction model that is established by smooth and stable time series analysis method.
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 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。
For the features of disc proportioning system's lag and discharge rate's fluctuation, applying time series analysis, a disc discharge rate prediction model based on ar model was set up.
针对原料场圆盘配料系统下料量检测滞后和料量随堆料机进退变化较大的特点，应用时间序列分析方法建立了基于AR模型的圆盘下料量预测模型。
In this paper, Auto Regressive model of metal content for specially monitored metals in lubricating oil monitoring system of aeroengine is built by the method of Time Series Analysis.
利用神经网络方法对某型航空发动机滑油监控系统中需重点监控的金属元素含量建立了网络，并根据该模型对其含量变化趋势进行了预测分析。
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。
Time series analysis method is a main method by which deformation forecasting model is established in deformation measurements.
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 based on neural networks theory cross through traditional frame of subjective model draw out prediction on the inner rules of linear time series data.
基于前向型神经网络理论的时间序列分析跳出了传统的建立主观模型的局限，通过时间序列的内在规律作出分析与预测。
ARIMA model; Predict; Time series analysis; Hypertension; Incidence.
ARIMA模型；预测；时间序列分析；高血压；发病率。
Finally, two time series and aero-engine spectrometric oil analysis data were used to verify this model.
最后，利用两组实际的航空发动机油样光谱分析数据对模型进行了验证。
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。
Combining Projection Pursuit(PP) and highdimensional time series analysis, the synthetic earthquake prediction model of highdimensional PP time series is built.
将投影寻踪（PP）与高维时间序列分析结合起来，建立了地震PP综合预测模型。
First, it introduces time series analysis principle. Then, heating load and model error prediction are given by this principle.
文中首先介绍了时间序列法预报原理，接着应用该原理给出供热负荷和模型误差的预报。
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.
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。
ARMA model is one of the most common models in the modern time series analysis which is widely used in scientific researches and engineering systems.
ARMA模型是现代时间序列分析中最为常用的模型之一，在科学研究和工程系统中具有广泛的运用。
ARMA model is one of the most common models in the modern time series analysis which is widely used in scientific researches and engineering systems.
ARMA模型是现代时间序列分析中最为常用的模型之一，在科学研究和工程系统中具有广泛的运用。
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