Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

IEEE Transactions on Industrial Informatics - Tập 14 Số 7 - Trang 3235-3243 - 2018
Xiaofeng Yuan1, Biao Huang2, Yalin Wang1, Chunhua Yang1, Weihua Gui1
1College of information science and engineering, Central South University, Changsha, China
2Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada

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fortuna, 2007, Soft Sensors for Monitoring and Control of Industrial Processes

10.1109/TIM.2017.2658158

10.1002/aic.14663

10.1109/TIM.2006.887331

10.1002/aic.14299

10.1021/ie4041252

rosipal, 2002, Kernel partial least squares regression in reproducing kernel hilbert space, J Mach Learn Res, 2, 97

10.1162/neco.2006.18.7.1527

10.1109/TPAMI.2013.50

lecun, 2015, Deep learning, Nature, 521, 436, 10.1038/nature14539

10.1016/j.ultras.2016.09.011

schölkopf, 0, Greedy layer-wise training of deep networks, Proc Int Conf Neural Inf Process, 153

10.1109/TII.2016.2610839

10.1109/TIE.2017.2733448

10.1016/j.compchemeng.2007.07.005

10.1109/TII.2013.2283147

10.1016/j.conengprac.2004.04.013

10.1109/TII.2012.2214394

10.1109/TIE.2017.2733443

10.1109/TII.2009.2025124

10.1016/j.compchemeng.2008.12.012

huang, 2012, Dynamic Modelling and Predictive Control in Solid Oxide Fuel Cells First Principle and Data-Based Approaches

10.1016/j.jprocont.2013.05.007

10.1109/SMC.2017.8122666

10.1109/TII.2016.2612640

10.1109/TIE.2017.2739691

10.1109/TPAMI.2016.2577031

10.1109/TNNLS.2016.2599820

10.1109/TIE.2016.2622668

10.1016/j.jprocont.2014.01.012