材料腐蚀数据的挖掘方法

Mining Methods for Material Corrosion Data

对历史文献中运用到的材料腐蚀数据挖掘方法进行了总结,包括曲线拟合、多元线性回归分析、灰色理论、神经网络、决策回归树及聚类分析等方法的独立或集成应用,指出了目前腐蚀数据分析存在的问题,对材料腐蚀数据挖掘技术的发展趋势进行了展望。

The methods of material corrosion data mining used in historical documents are summarized.It includes the independent or integrated application of curve fitting,multiple linear regression analysis,grey theory,neural network,decision regression tree and cluster analysis.The existing problems of corrosion data analysis are pointed out,and the development trend of material corrosion data mining technology is prospected.