Shi-Shang Jang
Orcid: 0000-0002-9121-0403
According to our database1,
Shi-Shang Jang
authored at least 17 papers
between 2001 and 2020.
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Bibliography
2020
A Data-Driven Soft Sensor Based on Multilayer Perceptron Neural Network With a Double LASSO Approach.
IEEE Trans. Instrum. Meas., 2020
Physically Consistent Soft-Sensor Development Using Sequence-to-Sequence Neural Networks.
IEEE Trans. Ind. Informatics, 2020
2017
Design and Application of a Variable Selection Method for Multilayer Perceptron Neural Network With LASSO.
IEEE Trans. Neural Networks Learn. Syst., 2017
2015
Stability analysis of semiconductor manufacturing process with EWMA run-to-run controllers.
CoRR, 2015
2013
Generation and verification of optimal dispatching policies for multi-product multi-tool semiconductor manufacturing processes.
Comput. Chem. Eng., 2013
2012
IEEE Trans. Syst. Man Cybern. Part C, 2012
2011
A Virtual Metrology System for Predicting End-of-Line Electrical Properties Using a MANCOVA Model With Tools Clustering.
IEEE Trans. Ind. Informatics, 2011
Plantwide control of CO2 capture by absorption and stripping using monoethanolamine solution.
Proceedings of the American Control Conference, 2011
2010
An EWMA algorithm with a cycled resetting (CR) discount factor for drift and fault of high-mix Run-To-Run Control.
IEEE Trans. Ind. Informatics, 2010
Fault Detection based on Statistical Multivariate Analysis and Microarray-type Visualization.
IEEE Trans. Ind. Informatics, 2010
2008
Systematic applications of multivariate analysis to monitoring of equipment health in semiconductor manufacturing.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008
2007
2006
Intelligent Experimental Design Using an Artificial Neural Network Meta Model and Information Theory.
Proceedings of the Integrated Intelligent Systems for Engineering Design, 2006
J. Glob. Optim., 2006
2004
Solution of trim-loss problem by an integrated simulated annealing and ordinal optimization approach.
J. Intell. Manuf., 2004
2003
An Experimental Study of Model Predictive Control Based on Artificial Neural Networks.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003
2001
Predictive control of batch processes using principal surface/space analysis and fuzzy clustering empirical models.
Proceedings of the American Control Conference, 2001