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；
In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
文章通过对一套市场价格预测模型体系的介绍，综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势，探索从多角度综合预测市场价格的问题。
Aim at the trait of time series, investigate the different ARIMA patterns, put forward the ARIMA model and forecast and estimate aim at special market.
针对其时间序列的特点，研究了ARIMA的不同模式，提出了面向特定市场的ARIMA模型，及其预测和估计方法。
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。
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 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。
First this article used expands the Dick - fuller model the card index to carry on the time series analysis to our country in, finally indicated the index the returns ratio might not forecast.
首先本文采用扩展迪克—富勒模型对我国上证指数进行了时间序列分析，结果表明指数的收益率是不可预测。
After defining a effective index for process similarity, an analogue model, which is suitable for doing similarity forecast for a time series, was established.
通过寻找过程相似的有效指标，建立了一个适合于时间序列分析的相似预报模式。
The theory of linear regression and the theory of moving average are applied to analyse single data in time series, the model of a linear moving self regression forecast are given out.
应用线性回归分析和移动平均理论，对按时间次序排列的单一数据序列，给出了一种线性移动自回归预测模型，并对原始数据受不确定因素影响而产生的随机振荡，给出了合理的控制区间和运行通道。
RBF neural network is applied to time series forecast with the same data in order to compare the forecast effect with LS-SVM model.
最小二乘支持向量机回归预测对训练样本数据区间内的预测精度很高，但是对前向外推预测效果不是很好；
The most important purpose to analyze time series with transfer function model is improving the precision of forecast.
使用传递函数模型对时间序列进行分析，最大的意义在于提高预测精度。
Heavy metal pollution in mining areas possesses the character of time series, so time series ARIMA model can be used to forecast heavy metal pollution.
矿区重金属污染具有时间序列的特征，因此可以采用时间序列arima模型对重金属污染进行预测。
Heavy metal pollution in mining areas possesses the character of time series, so time series ARIMA model can be used to forecast heavy metal pollution.
矿区重金属污染具有时间序列的特征，因此可以采用时间序列arima模型对重金属污染进行预测。
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