Multi-model soft measurement method of the froth layer thickness based on visual features
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- 作者：Degang Xu ; Yiwan Chen ; Xiao Chen ; Yongfang Xie ; yfxie@csu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Chunhua Yang ; Weihua Gui
- 关键词：Soft measurement ; Froth layer thickness ; Extreme learning machine ; Multiple model ; Visual features
- 刊名：Chemometrics and Intelligent Laboratory Systems
- 出版年：2016
- 出版时间：15 May 2016
- 年：2016
- 卷：154
- 期：Complete
- 页码：112-121
- 全文大小：404 K
文摘
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The multi-model soft measurement approach for froth layer thickness is proposed.
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Kernel extreme learning machine is used to construct the soft measurement local models.
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The membership degree of different working conditions with visual features is calculated.
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The online global model according to the membership degree of different working conditions is given based on KELM methods.
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The industry data validation results demonstrate that the model has high prediction accuracy.