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Research/investigacion publications/publicaciones |
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· Self-organizing map and clustering for wastewater treatment monitoring. Engineering Applications of Artificial Intelligence. 17 - 3, pp. 215 - 225. 2004. Available in: <http://www.sciencedirect.com/science/article/pii/S095219760400020X>. ISSN 0952-1976 · End-point detection of the aerobic phase in a biological reactor using SOM and clustering algorithms. Engineering Applications of Artificial Intelligence. 19 - 1, pp. 19 - 28. 2006. Available in: <http://www.sciencedirect.com/science/article/pii/S0952197605000643>. ISSN 0952-1976 · Testing reliability for data classification. WSEAS Transactions on Systems. 4 - 6, pp. 821 - 829. 2005. Available in: <http://www.scopus.com/inward/record.url?eid=2-s2.0-22944466073&partnerID=40&md5=f62b98cd284e3da5d0556b73a1ea71be>. ISSN 1109-2777 · Treatment stage estimation in a sequencing batch reactor. WSEAS Transactions on Computers. 4 - 8, pp. 951 - 959. 2005. Available in: <http://www.scopus.com/inward/record.url?eid=2-s2.0-23444458223&partnerID=40&md5=aa239362360d7f9b2a44bd55a5c19bc9>. ISSN 1109-2750 · An index for topology preservation of self-organizing maps. WSEAS Transactions on Systems. 5 - 4, pp. 672 - 677. 2006. Available in: <http://www.scopus.com/inward/record.url?eid=2-s2.0-33645113060&partnerID=40&md5=a30edac0009508496c1f2fcd1e04a0cb>. ISSN 1109-2777 · Improving an index for topology preservation of self-organizing maps. WSEAS Transactions on Systems. 5 - 5, pp. 1165 - 1170. 2006. Available in: <http://www.scopus.com/inward/record.url?eid=2-s2.0-33744756078&partnerID=40&md5=d097222e803a1d4ab7b394b0b0a6b0c7>. ISSN 1109-2777 · Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural Networks. Lectures Notes in Artificial Intelligence. Artificial Neural Networks in Pattern Recognition. ISSN: 0302-9743. Volumen 4087, pp 133-143, Springer, septiembre de 2006. Available in: <http://link.springer.com/chapter/10.1007%2F11829898_12> · Simulation of a coke wastewater nitrification process using a feed-forward neuronal net. Environmental Modelling & Software. 22 - 9, pp. 1382 - 1387. 2007. Available in: <http://www.sciencedirect.com/science/article/pii/S1364815206002635>. ISSN 1364-8152 · Fuzzy Labeled Self-organizing Map with Kernel-Based Topographic Map Formation. Lectures Notes in Computer Science. Artificial Neural Networks – ICANN 2007. ISSN: 0302-9743. Volume 4669, pp 341–348, Springer, September 2007. Available in: <http://link.springer.com/chapter/10.1007%2F978-3-540-74695-9_35> · FLSOM with different rates for classification in imbalanced datasets. Lectures Notes in Computer Science. Artificial Neural Networks – ICANN 2008. ISSN: 0302-9743. Volume 5163, pp 642-651, Springer, September 2008. Available in: <http://link.springer.com/chapter/10.1007%2F978-3-540-87536-9_66> · The Complexity of the Batch Neural Gas Extended to Local PCA. Lectures Notes in Computer Science. Bio-Inspired Systems: Computational and Ambient Intelligence – IWANN 2009. ISSN: 0302-9743. Volume 5517, pp 213–220, Springer, June 2009. Available in: <http://link.springer.com/chapter/10.1007%2F978-3-642-02478-8_27> · Sensor-based online control of pickling lines. Sensor-based online control of pickling lines. 23872, (Luxemburgo): RFCS publications, 2009. ISBN 978-92-79-11589-9. Available in: <http://bookshop.europa.eu/en/sensor-based-online-control-of-pickling-lines-pbKINA23872/> · FLSOM with individual kernel radii formation and application to optimization of a pickling line. Engineering Applications of Artificial Intelligence. 23 - 3, pp. 411 - 419. 2010. Available in: <http://www.sciencedirect.com/science/article/pii/S0952197610000345>. ISSN 0952-1976 · A hybrid batch SOM-NG algorithm. The 2010 International Joint Conference on Neural Networks (IJCNN), pp.1,5, 18-23 July 2010, doi: 10.1109/IJCNN.2010.5596812 · Modifying the learning rate of FLNG dealing with imbalanced datasets. The 2010 International Joint Conference on Neural Networks (IJCNN), pp.1,5, 18-23 July 2010, doi: 10.1109/IJCNN.2010.5596817. Available in: <http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5596817&isnumber=5595732> · Controlador Neuro-Robusto para sistemas no lineales. DYNA. 86 - 3, pp. 308 - 317. 2011. ISSN 0012-7361. Available in: <http://www.revistadyna.com/Articulos/Ficha.aspx?IdMenu=26e5f45a-7fdd-456b-8088-fad6a8390778&Cod=3949&CodArt=> · Self-Organising Maps: The Hybrid SOM–NG Algorithm. Distributed Networks: Intelligence, Security, and Applications. pp. 119 - 150. CRC Press, 2013. ISBN 978-1-4665-5957-8. Available in: <http://www.crcpress.com/product/isbn/9781466559578> · Comparing feed-forward versus neural gas as estimators: application to coke wastewater treatment. Environmental Technology. 34 - 9, pp. 1131 - 1140. Oxon(Reino Unido): 2013. Available in: <http://www.tandfonline.com/doi/abs/10.1080/09593330.2012.737863>. ISSN 0959-3330 · Detection of locally relevant variables using SOM–NG algorithm. Engineering Applications of Artificial Intelligence 26 - 8, pp. 1992 - 2000. PERGAMON-ELSEVIER SCIENCE LTD, 2013. Available in: <http://www.sciencedirect.com/science/article/pii/S095219761300078X>. ISSN 0952-1976 · Implementation of sensor-based online control of pickling lines (SensorControlPilot). Implementation of sensor-based online control of pickling lines (SensorControlPilot). 25320, (Luxemburgo): RFCS publications, 2013. ISSN 1831-9424. Available in: <http://bookshop.europa.eu/en/implementation-of-sensor-based-online-control-of-pickling-lines-sensorcontrolpilot--pbKINA25320/> · Knowledge extraction from a nitrification denitrification wastewater treatment plant using SOM-NG algorithm. Environmental Technology. Oxon(Reino Unido): 2016. Available in: <http://dx.doi.org/10.1080/09593330.2016.1237551>. ISSN 0959-3330 · Feedforward Nonlinear Control using Neural Gas Network. Complexity. John Wiley & Sons - Hindawi Publishing Corporation, 2017. Available in: <https://doi.org/10.1155/2017/3125073> ISSN 1076-2787 · Dynamics identification and control of nonlinear MIMO coupled plant using supervised neural gas and comparison with recurrent neural controller. Neural Computing and Applications, 2019. Available in: <https://doi.org/10.1007/s00521-019-04195-9 > full-text view-only version https://rdcu.be/bEdgb |
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Área de Ingeniería de Sistemas y Automática |
