Soft Sensor Modeling and Simulation Research of Flotation Cleaned Coal Ash of Slime

被引：0

作者：

Wang, Ranfeng ^{[1
]}

机构：

[1] Taiyuan Univ Technol, Mineral Proc Engn Dept, Taiyuan, Peoples R China

来源：

ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT III | 2011年 / 7004卷

关键词：

Flotation cleaned coal ash; Least square support vector machines; Subsidiary variable choice; Anthrax fluctuation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Realizes the flotation process cleaned coal ash soft Sensor is the key of flotation process automation. First introduction to least square support vector machines algorithm, subsidiary variable choice research on flotation process cleaned coal ash soft sensor is carried out, reasonable subsidiary variable is selected by experiment, soft sensor accuracy of coal change is proposed, experiment show that model accuracy is sensitive for coal change. This soft sensor model is help to flotation process automatic control.

引用

页码：611 / 619

页数：9

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