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An Optimization Method for the Data Space Partition Obtained by Classification Techniques for the Monitoring of Dynamic Processes.

, , , , and . CCIA, volume 146 of Frontiers in Artificial Intelligence and Applications, page 80-87. IOS Press, (2006)

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Use of an Object Oriented Dynamic Hybrid Simulator for the Monitoring of Industrial Processes., , , and . ADHS, volume 39 of IFAC Proceedings Volumes, page 235-240. Elsevier, (2006)Development of a Neural Sensor for On-Line Prediction of Coagulant Dosage in a Potable Water Treatment Plant in the Way of Its Diagnosis., and . IBERAMIA-SBIA, volume 4140 of Lecture Notes in Computer Science, page 249-257. Springer, (2006)Application of iterative learning control to an exothermic semibatch chemical reactor., , , , , and . IEEE Trans. Control. Syst. Technol., 10 (6): 822-834 (2002)A Multi-phase Iterative Approach for Anomaly Detection and Its Agnostic Evaluation., , , and . IEA/AIE, volume 12144 of Lecture Notes in Computer Science, page 505-517. Springer, (2020)Data validation and missing data reconstruction using self-organizing map for water treatment., , , and . Neural Comput. Appl., 20 (4): 575-588 (2011)Situation prediction based on fuzzy clustering for industrial complex processes., , , and . Inf. Sci., (2014)Automation of an industrial pilot bioreactor based on model predictive control with nonlinear parameter estimation., , and . ECC, page 1021-1026. IEEE, (1999)Non-linear model predictive control for thermal control of a semi - batch reactor: Experimental and simulation results., , , , and . ECC, page 1434-1439. IEEE, (1999)Automaton based on fuzzy clustering methods for monitoring industrial processes., , , , and . Eng. Appl. Artif. Intell., 26 (4): 1211-1220 (2013)Process Monitoring Using Residuals and Fuzzy Classification with Learning Capabilities., , , , and . IFSA (2), volume 42 of Advances in Soft Computing, page 275-284. Springer, (2007)