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Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers.

, , , , , and . EANN, volume 1000 of Communications in Computer and Information Science, page 307-319. Springer, (2019)

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Active learning in control education., , , and . CDC/ECC, page 2721-2726. IEEE, (2005)Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers., , , , , and . EANN, volume 1000 of Communications in Computer and Information Science, page 307-319. Springer, (2019)Tool for instruction and learning on variable speed drives through the Internet., , , , , , , and . ECC, page 4048-4053. IEEE, (2009)Modeling of Dynamics Using Process State Projection on the Self Organizing Map., , , , , and . ICANN (1), volume 4668 of Lecture Notes in Computer Science, page 589-598. Springer, (2007)Case-Based Reasoning and System Identification for Control Engineering Learning., , , and . IEEE Trans. Educ., 51 (2): 271-281 (2008)Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes., , , , , , and . ICANN (2), volume 6353 of Lecture Notes in Computer Science, page 392-401. Springer, (2010)Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes., , , , , and . Eng. Appl. Artif. Intell., 23 (1): 8-17 (2010)Visualization of Dynamics Using Local Dynamic Modelling with Self Organizing Maps., , , , , and . ICANN (1), volume 4668 of Lecture Notes in Computer Science, page 609-617. Springer, (2007)Internet-based remote supervision of industrial processes using self-organizing maps., , , , and . Eng. Appl. Artif. Intell., 20 (6): 757-765 (2007)