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以现场正交试验数据为基础 ,采用人工神经网络方法建立了高碳钢高速线材控冷工艺优化模型 ,将预报结果与试验结果相比较可知 ,该模型具有较高的精度
Based on the orthogonal experimental data, the artificial neural network method was used to establish the optimal control model of the high-carbon steel high-speed wire. The comparison between the predicted results and the experimental results shows that the model has higher accuracy