应用模糊辨识方法对马氏体不锈钢马氏体相变温度(Ms)进行预测.该方法是基于模糊聚类对输入变量进行有效模糊划分,并通过递推最小二乘辨识模糊模型的结论参数.根据收集和整理的实验数据,建立了马氏体不锈钢的化学成分与Ms温度之间的模糊模型.与经验公式相比,模糊模型显示了较高的预测精度,平均误差仅有2.28℃.
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