关联规则在冷轧板形控制中的应用

Associative Rules Applied onto the Strip Flatness Controlling in Cold Rolling

基于冷轧板形控制效果很大程度上取决于效应函数的精确性,运用了关联规则算法,进行影响板形因素的多维频繁项集的数据挖掘,解决了板形控制过程中如何快速、准确改善效应函数自适应修正能力,提高板形控制质量的问题。

Seeing that the effect for controlling the strip flatness of a cold rolled steel strip depends on the precision of effect function to a great extent the data mining on multi-dimensional frequent item-sets which are the factors of influencing the strip flatness is carried out so that the problems on how to modify the adaptive correction ability of effect function quickly and accurately and improve the quality of strip flatness controlling flatness are solved.