In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
文章通过对一套市场价格预测模型体系的介绍，综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势，探索从多角度综合预测市场价格的问题。
Based on the analysis of contributing factors, a model of parameterized combination operator in air pollution forecasting is presented, which is suitable to nonlinear problems.
在成因分析的基础上，建立了大气污染物浓度预测的参数化组合算子模型，适应非线性问题。
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