The radial basis function networks (RBFN) was combined with the cyclic subspace regression (CSR) in this paper, and a modeling approach by RBFN-CSR was designed.
运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
This essay combines to the characteristics of oil output, forecasts the crude oil output with time series modeling approach and regression analysis method and has a high precision.
本文结合石油行业产量的特点，运用SAS系统中时间序列建模方法及回归分析方法对原油月产量作了预测分析，预测结果精度较高。
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