JUAN JOSÉ
FUERTES MARTÍNEZ
Profesor Titular de Universidad
Abel A.
Cuadrado Vega
Publicaciones en las que colabora con Abel A. Cuadrado Vega (12)
2012
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Supervision of industrial processes using self organizing maps
Intelligent Data Analysis for Real-Life Applications: Theory and Practice (IGI Global), pp. 206-227
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Visual analysis of residuals from data-based models in complex industrial processes
International Journal of Modern Physics B, Vol. 26, Núm. 25
2011
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Analysis of electric power consumption using self-organizing maps
IFAC Proceedings Volumes (IFAC-PapersOnline)
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Control maps: Visualization of local robustness properties for control system design
IFAC Proceedings Volumes (IFAC-PapersOnline)
2010
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Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes
Engineering Applications of Artificial Intelligence, Vol. 23, Núm. 1, pp. 8-17
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Visualization of changes in process dynamics using self-organizing maps
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2009
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Visualization of MIMO process dynamics using local dynamic modelling with self organizing maps
Communications in Computer and Information Science
2008
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A new approach to exploratory analysis of system dynamics using SOM. Applications to industrial processes
Expert Systems with Applications, Vol. 34, Núm. 4, pp. 2953-2965
2007
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Internet-based remote supervision of industrial processes using self-organizing maps
Engineering Applications of Artificial Intelligence, Vol. 20, Núm. 6, pp. 757-765
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Modeling of dynamics using process state projection on the self organizing map
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Visualization of dynamics using local dynamic modelling with self organizing maps
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2005
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Industrial supervision system based on visual data mining and motion trajectory analysis
IFAC Proceedings Volumes (IFAC-PapersOnline)