通过多种可能性分析，以新预测模型季节性门限回归模型和季节性人工神经网络模型效果较为突出。
As a whole, the prediction result from seasonal threshold regression model and seasonal artificial neural network model is better than other models.
建立了一个时间序列的门限自回归的预测模型，为股票市场的非线性研究这一前沿领域作了一点新的尝试。
Set up one time door limit prediction model of autoregression of array, study for nonlinearity of stock market this front field make new try a bit.
门限自回归模型是一种新近创立的非线性时间序列摸型。
The threshold autoregressive model is a kind of non-linear time series model recently established.
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