用人工神经元方法预报IF钢性能
Prediction of Properties of IF Steel Using Neural Network Model
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摘要: 用人工神经元方法分析IF钢性能与成分、加工工艺之间关系.通过实验与现场数据训练1个前向网络的考核结果表明,该方法是用于大生产中IF钢成分与工艺设计的有效方法.Abstract: A method for design of artificial neural network to predict properties of IF steel was studied. Based on the experimental data, a neural network was established. It is concluded that artificial neural network is an effective method for the process and composition design for large scale production of IF steel.