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Prediction and Key Computer Programming of Mechanical Properties of Hot Rolled Plate Based on BP Neural Network

机译:基于BP神经网络的热轧板机械性能预测与关键计算机规划

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摘要

Based on the theory of artificial neural network,BP algorithm is used for the training of networks,and the relationship between the controlling parameters in hot rolling (temperature, rolling press, chemical composition, cooling rate, etc) and the parameters of mechanical properties is established, key computer programming has been determined. The calculation results are in good agreement with the experimental results.
机译:基于人工神经网络理论,BP算法用于网络的训练,以及热轧中的控制参数与机械性能参数的控制参数之间的关系是基于网络中的控制参数(温度,轧制压力机,化学成分,冷却速度等的关系建立,重点计算机编程已经确定。计算结果与实验结果吻合良好。

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