A multi-variable analytical model has been built to study the effect of key input variables ( KIV) on YS ( KOV) through analysis of a great number of historical data on production with three different methods including regression analysis, neural network and decision tree.
基于大量的生产过程历史数据,分别用回归分析、神经元网络、决策树三种不同方法进行分析,建立各关键输入变量(KIV)对屈服强度(KOV)影响的多变量模型。
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