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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．
Analysis of the relationship between IF steel properties and composition and processing technology by artificial neuron method. The results of training a forward network through experiment and field data show that this method is an effective method for the design of IF steel composition and process in large production.