基于数据挖掘技术的铸造产品质量预测研究

Quality Prediction of Casting Product Based on Data Mining Technique

针对铸造厂的实际生产情况,应用数据挖掘中的决策树方法,通过对大量历史数据的分析,形成了一定的质量预测规则,并以此为基础,利用神经网络的方法,建立了生产过程质量预测模型,实现铸造产品生产质量预测系统。

According to the actualities in casting enterprises, the decision tree method in data mining is applied to form a set of quality prediction rules on the basis of a large number of historical data. Based on this, the neutral network method is used to establish a quality prediction model of production process and a quality prediction system of casting products.