定性分析方法主要是单变量分析，定量分析方法有多变量模型和神经网络模型。

Single variable analysis is the mainly used qualitative analysis method in this thesis, while multivariable model and neural network model used as the main quantitative analysis methods.

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在实验和神经网络模型基础上对叶片挤出机的能耗特性的变化规律作进一步的研究。

Then further study is stretched out of the blade extruder energy consumption, based on the experimental and neural network model.

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讨论、比较了基于神经网络和基于时间序列的预测模型。

It discusses and compares the forecasting models using neural networks and using time series.

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