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- [1] Soft Sensor method of Mill Load for Grinding Process based on GA-PLS from Spectral Data using Feature Selection PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE, 2010, : 5066 - 5071
- [3] Soft sensor for ball mill load based on multi-source data feature fusion Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2010, 44 (07): : 1406 - 1413
- [4] Soft Sensor for Ball Mill Load Using DAMRRWNN Model Zidonghua Xuebao/Acta Automatica Sinica, 2019, 45 (02): : 398 - 406
- [5] Soft sensing modeling of mill load parameter based on adaptive feature selection and extraction of multi-scale vibration and acoustic frequency spectrum Kongzhi yu Juece/Control and Decision, 2019, 34 (12): : 2603 - 2610
- [6] Optimal selection of secondary variables based on GA-PLS algorithm and its application to soft sensor modeling Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science), 2006, 26 (01): : 76 - 80
- [7] Soft sensor approach for modeling mill load parameters based on EMD and selective ensemble learning algorithm Chai, Tian-You, 1853, Science Press (40):
- [8] Soft Sensor of Wet Ball Mill Load Based on DAMKELM Model PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 1087 - 1092
- [9] Soft Sensor Modeling of Mill Level Based on Convolutional Neural Network 2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 4738 - 4743
- [10] Soft Sensor Modeling of Mill Level Based on Deep Belief Network 26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 189 - 193