The stability conditions and the existing conditions of limit cycle of AR-type nonlinear time series models are given. Some special models are discussed.
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。
Founded on change speciality of series of dam safety monitoring forecast, artificial neural networks and nonlinear models of time series based on genetic algorithms are applied.
根据大坝监测数据在时序上变化特征，应用了神经网络和基于遗传算法的时间序列的非线性预测模型。
In this paper, using neuron network models of nonlinear multidimensional time series prediction, neuron network predictors for the oil production and water production of oil fields were constructed.
从信息论角度出发，利用神经网络非线性时间序列预测模型，构造了油田产油量、产水量的多维时间序列神经网络预测器。
Using linear regressive models (e. g. AR, ARMA model) to fit and predict the climatic time series, the results are not sufficiently good because there exist nonlinear variations in the time series.
在用AR、ARMA等线性模式对气候序列进行拟合和预报时，由于气候序列中存在着非线性变化，所以拟合和预报效果往往不太理想。
In this paper a variety of time series nonlinear models are introduced and the idea and modeling method of the threshold autoregression are discussed in detail.
本文概述了时序分析的非线性模型类，详细叙述了门槛自回归模型的建模思想和方法。
In this paper a variety of time series nonlinear models are introduced and the idea and modeling method of the threshold autoregression are discussed in detail.
本文概述了时序分析的非线性模型类，详细叙述了门槛自回归模型的建模思想和方法。
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