利用神经网络预测铸坯表面温度

Research on artificial neural network model for predicting temperature of slab surface

以试验研究为基础,采用人工神经网络方法建立了连铸坯表面温度预测模型,该模型的预测误差为5～10℃。

Based on experiments, a model for predicting the temperature of slab surface is established by employing artificial neural network. the accuracy of prediction of the model is between 5 - 10℃ .