• 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.

    文章通过对市场价格预测模型体系介绍综合运用时间序列模型、多元非线性回归组合模型预测市场价格走势,探索从多角度综合预测市场价格的问题。

    youdao

  • 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.

    最后试验分析展示研究结果能够有效地产生时间序列数据回归模型实现数据流未来数据的预测

    youdao

  • 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方法传统建模方法,诸如时间序列回归分析方法。

    youdao

  • 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,最小二乘支持向量机回归预测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分析预测可行的;

    youdao

  • This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.

    本文讨论综合运用非线性回归模型时间序列分析方法进行变形预报

    youdao

  • The forewarning control limits and time series regression judgment model are built up based on the reliability series model in a non-repairable system and Shewhart control charts.

    研究结果:利用不可修复可靠性串联模型哈特控制建立预警控制界限,建立时间序列回归判别模型。

    youdao

  • 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.

    应用线性回归分析移动平均理论,对按时间次序排列的单一数据序列给出一种线性移动回归预测模型,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。

    youdao

  • The time series ar (p) self-regression model is widely applied to prediction in economic field. Most of researchers and technicians in engineering are not familiar with it.

    时间序列ar (P)自回归模型应用于经济预测领域工程技术界多数人对此太热悉。

    youdao

  • The residual term in the regression model is the noise generated by the omitted variables that influent dependent variable in the model. The time series model can fit this noise.

    回归模型反映被解释变量影响但未列入解释变量的因素所产生噪音部分噪音时间序列模型进行拟合

    youdao

  • This paper introduces the time series AR (p) self-regression model. and how to apply it to predict the output of B. F. gas in Iron and Steel Works.

    本文介绍时间序列ar (P)自回归模型以及如何利用预测高炉煤气产量

    youdao

  • The precision of mixed model considering plot random effects, time series error autocorrelation and different plantation density at one time is better than that of ordinary regression analysis method.

    同时考虑样地随机效应、观测数据的时间序列相关性不同初植密度混合模型模拟精度传统的非线性回归方法模拟精度高。

    youdao

  • The precision of mixed model considering plot random effects, time series error autocorrelation and different plantation density at one time is better than that of ordinary regression analysis method.

    同时考虑样地随机效应、观测数据的时间序列相关性不同初植密度混合模型模拟精度传统的非线性回归方法模拟精度高。

    youdao

$firstVoiceSent
- 来自原声例句
小调查
请问您想要如何调整此模块?

感谢您的反馈,我们会尽快进行适当修改!
进来说说原因吧 确定
小调查
请问您想要如何调整此模块?

感谢您的反馈,我们会尽快进行适当修改!
进来说说原因吧 确定