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An Experimental Study of Model Predictive Control Based on Artificial Neural Networks., , , , , , , и . KES, том 2773 из Lecture Notes in Computer Science, стр. 1296-1302. Springer, (2003)Plantwide control of CO2 capture by absorption and stripping using monoethanolamine solution., , , и . ACC, стр. 5067-5072. IEEE, (2011)Intelligent Experimental Design Using an Artificial Neural Network Meta Model and Information Theory., , и . Integrated Intelligent Systems for Engineering Design, том 149 из Frontiers in Artificial Intelligence and Applications, IOS Press, (2006)Systematic applications of multivariate analysis to monitoring of equipment health in semiconductor manufacturing., , , , и . WSC, стр. 2330-2334. WSC, (2008)Fault Detection based on Statistical Multivariate Analysis and Microarray-type Visualization., , , и . IEEE Trans. Ind. Informatics, 6 (1): 18-24 (2010)Deep learning model predictive control of a high-density polyethylene reactor with a physics-guided sequence-to-sequence model with memory., , , , , , , и . Comput. Chem. Eng., (2024)Predictive control of batch processes using principal surface/space analysis and fuzzy clustering empirical models., , и . ACC, стр. 1005-1009. IEEE, (2001)Chamber Matching of Semiconductor Manufacturing Process Using Statistical Analysis., , и . IEEE Trans. Syst. Man Cybern. Part C, 42 (4): 571-576 (2012)A Virtual Metrology System for Predicting End-of-Line Electrical Properties Using a MANCOVA Model With Tools Clustering., , , и . IEEE Trans. Ind. Informatics, 7 (2): 187-195 (2011)Solution of trim-loss problem by an integrated simulated annealing and ordinal optimization approach., , и . J. Intell. Manuf., 15 (5): 701-709 (2004)