The threshold autoregressive model is a kind of non-linear time series model recently established.
门限自回归模型是一种新近创立的非线性时间序列摸型。
ARCH model is a kind of dynamic non-linear time series model. It has widely used in the field of the finance and economic.
ARCH族模型是动态非线性的股票定价模型，它在金融和经济领域具有广阔的应用前景。
This paper introduces the feasibility of inner recursion networks using in non-linear ARMA model approaching and time series forecasting.
该文介绍了内回归神经网络逼近非线性ARMA模型、用于时间序列预测的可行性。
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