摘要
通过对烟草加工中工艺参数与质量指标之间的关系研究,提出采用自组织数据挖掘方法建立相应的关系模型,并利用该模型预测质量指标取值。通过与多元线性回归模型的预测值对比,证明了该方法的有效性。
Through studying on the relationship between processing parameters and qualitative attributes in tobacco primary processing,the interaction model based on self-organizing data mining can be figured out.Then,we use this model to forecast qualitative attributes＇ values.By contrasting to results generated from Multivariate Linear Regression model,experiment results show that the GMDH used in this paper is more effective.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第28期13-14,36,共3页
Computer Engineering and Applications
基金
国家自然科学基金No.70272002~~
关键词
自组织数据挖掘
卷烟
制丝工艺
工艺参数
数据分组处理方法
self-organizing data mining
cigarette
primary processing
processing parameters
Group Method of Data Handling（GMDH）
