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| Intelligent Integrated Modeling for Tungsten Alkali Leaching Process |
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Received:December 30, 2014
Revised:December 31, 2014
Accepted:January 04, 2015
Published Online:May 20, 2015
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| DOI：doi：10.3969/j.issn.1007-7545.2015.06.016 |
| KeyWord:alkali leaching; mechanism; support vector machine; intelligent integrated; tungsten leaching rate |
| Author | Institution |
| 刘飞飞 |
江西理工大学 电气工程与自动化学院 |
| zhuenyu |
江西理工大学 电气工程与自动化学院 |
| xupeng |
江西理工大学 电气工程与自动化学院 |
| gongyazhong |
江西理工大学 电气工程与自动化学院 |
| luoxianping |
江西理工大学 电气工程与自动化学院 |
| zhangyuzhou |
江西理工大学 电气工程与自动化学院 |
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| Abstract: |
| Mechanism of tungsten hydrometallurgy process (alkali leaching) was analyzed. Dynamic mechanism model of WO3 leaching rate was established. Model prediction deviation was compensated by least squares support vector machine (SVM). Intelligent integrated modeling for WO3 leaching rate was realized. Intelligent integration model was simulation analyzed by MATLAB. The validity and generalization of this model were verified. The affecting factors on WO3 leaching rate were analyzed. |
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