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1)  AR-type nonlinear time series models
AR型非线性时间序列模型
1.
Amplitude-dependent exponential autoregressive models, threshold autoregressive models and polynomal autoregressive models which are AR-type nonlinear time series models are widely used in engineering.
为此给出了 AR型非线性时间序列模型的稳定性条件及极限环存在条件 ,并对一些特殊模型进行了讨论。
2)  time series model(AR)
时间序列AR模型
1.
The time series model(AR) and nerval network model(BP) are used to simulate and forecast the water yield of coal mine.
利用MATLAB提供的强大的科学运算能力以及相关工具箱,建立时间序列AR模型及人工神经网络BP模型,对煤矿的涌水量进行预测,结果显示两种建模方法对矿井涌水量都有好的模拟及预测效果。
3)  linear regression model for time series
时间序列线性回归模型
4)  linear time series model
线性时间序列模型
1.
This article is designed to fit the linear time series model of enterprise annuity index yield to predict yield, to estimate the bounds of loss probability.
本文旨在通过合适的线性时间序列模型对企业年金指数收益率作出预测,来估计投资组合发生亏损的概率上界。
5)  nonlinear AR model
非线性AR模型
1.
A new test statistic for nonlinearity,which is based on the nonlinear AR model, is used to detect the weak nonlinear components contained in time series using the surrogate data method.
提出一种基于非线性AR模型相对预测误差的非线性检验量δNAR,采用替代数据法来检验时间序列中的弱非线性。
2.
A new test statistic for nonlinearity,which is based on the ratio of the multistep normalized prediction error with respect to linear AR models and nonlinear AR models,is used to detect the weak nonlinear components contained in time series by the surrogate data method.
提出一种基于线性和非线性AR模型归一化多步预测误差比值的非线性检验量δNAR,采用替代数据法来检测时间序列中的弱非线性。
6)  AR time sequence model
AR时序模型
1.
The penalty tendency for engine technical states was predicted by the grey model,AR time sequence model and the grey-time sequence model respectively,and the predicted precisions were compared among the three models.
运用灰色模型、AR时序模型以及灰色时序模型分别进行发动机技术状况恶化趋势预测,并比较了预测精度。
补充资料:连续时间非线性系统模型
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性质:系统模型的一种,其变量之间的关系是司E线性的且时间变量连续的系统模型。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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