模式识别在过程数据优化中的应用研究  

Application and Research on Process Data Optimized Based on Pattern Recognition

作　　者：陈铁梅[1] 

机构地区：[1]广东商学院信息学院,广东广州510320

出　　处：《中原工学院学报》2004年第1期43-45,48,共4页Journal of Zhongyuan University of Technology

摘　　要：　在分析数据优化的意义的基础上,提出了一种基于非线性映照的模式识别的数据优化方法.通过对某造纸厂制浆蒸煮过程中的现场数据的仿真处理,研究表明,本文提出的方法能较好的寻找目标属性与其影响因素的对应关系,从而能实现样本间的分类识别和数据的优化,并且本文给出了在某造纸厂的应用结果.Based on analyzing the meaning of data optimized, this papers gives one kind of method of data optimized rest on pattern recognition which is non-linear mapping. We collect a lot of spot data of one paper mill and do much simulinking work, it shows this method can find the relationship between the target and its influencing factors, and thus the samples can be classified and the data optimized can be achieved. The result which this method is used in one paper mill is given in this papers.

关 键 词：数据优化 模式识别 非线性映照 造纸厂 制浆蒸煮 分类识别 计算机 

分 类 号：TS736.4[轻工技术与工程—制浆造纸工程]