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An improved cell situation identification approach with convolutional neural network and wavelet extreme learning machine
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering ( IF 1.4 ) Pub Date : 2020-07-16 , DOI: 10.1177/0959651820935667 Yongxiang Lei 1 , Xiaofang Chen 1 , Yongfang Xie 1
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering ( IF 1.4 ) Pub Date : 2020-07-16 , DOI: 10.1177/0959651820935667 Yongxiang Lei 1 , Xiaofang Chen 1 , Yongfang Xie 1
Affiliation
In the aluminum reduction process, the flame hole is an influential index of the whole production situation, which reflects the distribution of the physical field of the reduction cell, the current...
中文翻译：
一种改进的基于卷积神经网络和小波极限学习机的细胞情况识别方法
在铝还原过程中，火焰孔是影响整个生产情况的一个指标，它反映了电解槽物理场的分布，电流...
更新日期：2020-07-16
中文翻译：
一种改进的基于卷积神经网络和小波极限学习机的细胞情况识别方法
在铝还原过程中，火焰孔是影响整个生产情况的一个指标，它反映了电解槽物理场的分布，电流...
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