| 基于数据挖掘技术的合成氨生产工艺参数的优化 |
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| 引用本文： | 杨亦,杨开英. 基于数据挖掘技术的合成氨生产工艺参数的优化[J]. 沈阳农业大学学报, 2011, 42(3): 379-381 |
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| 作者姓名： | 杨亦 杨开英 |
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| 作者单位： | 1. 湖南女子学院信息科学技术系,长沙,410004
2. 武汉理工大学计算机学院,武汉,430070 |
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| 基金项目： | 国家自然科学基金项目(60473014) |
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| 摘 要： | 为了实现对合成氨生产工艺的快速优化,采用关联规则方法分析影响合成氨生产的关键属性(温度、氢氮比、空速),研究它们之间的关系。结果表明,关联规则挖掘是一个很好数据分析工具,非常适合于进行合成氨生产这种过程工业的优化问题分析。
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| 关 键 词： | 数据挖掘 关联规则 Apriori算法 合成氨转化率 |
Use Association Rules to Optimize Ammonia Procedure |
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| YANG Yi,YANG Kai-ying. Use Association Rules to Optimize Ammonia Procedure[J]. Journal of Shenyang Aricultural University, 2011, 42(3): 379-381 |
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| Authors: | YANG Yi YANG Kai-ying |
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| Affiliation: | YANG Yi1,YANG Kai-ying2 (1.Information Science Technology department,Hunan Woman's University,Changsha 410004,China,2.School of Computer,Wuhan University of Technology,Wuhan 430070) |
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| Abstract: | In order to rapidly relize the optimization of Ammonia procedure progress,Data-mining by association rules(DMAR) was presented in this paper,which is used for analyzing three important attributes(including temperature,Hydrogen/ Nitrogen and Air Flow rate) influencing ammonia produce,finding the relation among them.Experiment results showed that DMAR was a good data analysis method,which is very suitable for analysis of optimization problems in process industry such as ammonia procedure. |
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| Keywords: | data mining association rules apriori algorithm Ammonia transform ratio |
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