The models for predicting the recrystallized grain size and the recrystallization volume percent have been established with the artificial neural network.

采用人工神经网络的方法建立了再结晶晶粒尺寸和再结晶体积分数的预测模型。

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With the decreases of deformation temperature and increases of deformation degree and deformation rate, the recrystallized grain size decreases and the recrystallization volume percent increases.

随着变形温度的降低、变形程度和变形速率的增大，再结晶晶粒尺寸减小，再结晶体积分数增大。

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With the decreases of deformation temperature and increases of deformation degree and deformation rate, the recrystallized grain size decreases and the recrystallization volume percent increases.

随着变形温度的降低、变形程度和变形速率的增大，再结晶晶粒尺寸减小，再结晶体积分数增大。

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