摘要
本文介绍如何将模式识别应用于生产调优,着重讨论了多指标(优化目标)因素的分级,提出了用模糊综合评价度量和依有序聚类最小损失函数准则划类,并相继进行变量与样本筛选、信息压缩、特征提取和模拟仿真获得优区操作条件,实施效果显著。
This paper introduces how pattern recognition is application to productive optimiza ion. Study chiefly the classification of the multi-index variates (Optimizing Objections) and offer the classifi ation method by fuzzy ensemble evaluation and least residue function principle of the order cluster. And carry on the selection of the variates and samples, the information compaction, getting characteristic and simulati(?)n to gain optimizing operation area. Application result is good.
出处
《计算机与应用化学》
CAS
CSCD
1992年第4期260-266,共7页
Computers and Applied Chemistry
基金
国家自然科学基金
关键词
模式识别
模糊评价
调优
催化剂
Pattern recognition Fuzzy ensemble evaluation Optimization Simulation