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An evolutionary fuzzy system for the detection of exceptions in subgroup discovery.

, , , , and . IFSA/NAFIPS, page 74-79. IEEE, (2013)

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Recurrent Neural Supervised Models for Generating Solar Radiation Synthetic Series., , , and . Journal of Intelligent and Robotic Systems, 31 (1-3): 201-221 (2001)Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining., , , , and . SOCO-CISIS-ICEUTE, volume 527 of Advances in Intelligent Systems and Computing, page 334-344. (2016)Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks., , , and . Expert Syst. Appl., 40 (5): 1599-1608 (2013)Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach., , , , and . HAIS, volume 9648 of Lecture Notes in Computer Science, page 273-282. Springer, (2016)A method for evaluating shading losses involved in a GC-BIPV using real data., , , and . SSD, page 1-3. IEEE, (2012)Prices of Robustness and Reblending in Oil Industry., , and . MIM, page 180-185. International Federation of Automatic Control, (2013)MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology., , , , and . Knowl. Based Syst., (2013)A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions., , , , and . Expert Syst. Appl., 42 (13): 5452-5462 (2015)A Neural Network Approach for Generating Solar Irradiation Artificial Series., , , , and . IWANN (2), volume 1607 of Lecture Notes in Computer Science, page 874-883. Springer, (1999)A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO2RBFN., , , and . SOCO, volume 188 of Advances in Intelligent Systems and Computing, page 439-448. Springer, (2012)