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应用门限自回归 (TRA)模型解决具有周期性变化和下降趋势的地下水位的预测问题 ,可以有效地利用地下水位资料所隐含的时序分段相关性 ,起到限制模型误差 ,保证模型预测性能的稳定性 ,提高预测精度的作用
The application of threshold auto-regressive (TRA) model to solve the prediction problem of groundwater level with periodic change and downward trend can effectively utilize the time-series correlation implied by groundwater level data to limit the model error and ensure the model predictive performance The stability, improve the accuracy of prediction