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在实验的基础上建立基于神经网络的连铸保护渣性能预测模型,经对比分析表明,用神经网络对连铸保护渣性能进行训练和学习后,神经网络方法能有效和比较准确地对保护渣性能进行预测。
On the basis of experiment, the prediction model of continuous casting mold flux based on neural network is established. The comparative analysis shows that the method of neural network can train and study the performance of continuous casting mold slag effectively and accurately. Performance prediction.