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数据挖掘技术在乳化炸药生产中的应用
Application of data mining technology in the emulsion explosive production
摘要：
针对乳化炸药生产数据的特点,运用基于粗糙集理论的数据挖掘算法,通过改进的依赖度属性约简算法对决策系统进行了属性约简,根据决策表的属性依赖度提取比较决策规则,得到了乳化炸药生产优化方案.生产实践结果表明,优化方案有效地提高了乳化炸药轰爆性能,具有较高的经济价值.
Abstract：?
Aiming at the characteristic of the data from the procession, data mining technology based on rough sets theory were used to mine the discretization data. Firstly, the reduction algorithm depending on the attribute was improved to reduce the attrib-utes in the decision table. Then the rules were extracted by decision system, and optimal program for the produce were gotten at last. The results indicate that the plan is help to improve the quality of emulsion explosive.
doi： 10.3969/j.issn.1001-4551.2009.07.020
作者： 杨阳 王越胜 陈强
Author： YANG Yang WANG Yue-sheng CHEN Qiang
作者单位： 杭州电子科技大学自动化研究所,浙江,杭州,310018
刊 名： 机电工程ISTIC
Journal： MECHANICAL & ELECTRICAL ENGINEERING MAGAZINE
年，卷(期)： 2009, 26(7)
分类号： TD235.21
关键词： 乳化炸药 数据挖掘 粗糙集 知识约简 规则提取
Keywords： emulsion explosivedata miningrough setsknowledge reductionrule ectraction
机标分类号： TP1 TP3
在线出版日期： 2009年8月26日
原文网址：- http://d.wanfangdata.com.cn/Periodical/jdgc200907020
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发表于 2009-8-26 00:00:00
