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。

A prediction model of methanol content at the exit of methanol synthesis reactor was proposed through radial basis function networks and partial least square regression approach.

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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。

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.

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分析了精甲醇中水的来源，找出造成馏出口水含量超标的原因：回流量不能及时地根据生产负荷的变化而作相应的调节。

The source of water contained in fine methanol was analyzed. The reason of high water content is that the backflow is not timely adjusted according to the change of production load.

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