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New trends on soft computing models in industrial and environmental applications.

, , and . Neurocomputing, (2013)

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Innovations in nature inspired optimization and learning methods., and . Neurocomputing, (2014)Fusion Methods for Unsupervised Learning Ensembles, and . Studies in Computational Intelligence Springer, (2011)A Novel Method to Prevent Control System Instability Based on a Soft Computing Knowledge System., , , , , and . SOCO, volume 87 of Advances in Intelligent and Soft Computing, page 427-436. Springer, (2011)Hybrid Neural Intelligent System to Predict Business Failure in Small-to-Medium-Size Enterprises., , , , and . Int. J. Neural Syst., 21 (4): 277-296 (2011)ARIAS: Automated Retinal Image Analysis System., , , and . SOCO, volume 87 of Advances in Intelligent and Soft Computing, page 67-76. Springer, (2011)A Bio-inspired Fusion Method for Data Visualization., and . HAIS (2), volume 6077 of Lecture Notes in Computer Science, page 501-509. Springer, (2010)Genetic Algorithms to Simplify Prognosis of Endocarditis., , , , and . IDEAL, volume 6936 of Lecture Notes in Computer Science, page 454-462. Springer, (2011)A three-step unsupervised neural model for visualizing high complex dimensional spectroscopic data sets., and . Pattern Anal. Appl., 14 (2): 207-218 (2011)New trends on soft computing models in industrial and environmental applications., , and . Neurocomputing, (2013)Intelligent Model for Electromyogram (EMG) Signal Prediction During Anesthesia., , , , and . J. Multiple Valued Log. Soft Comput., 32 (3-4): 205-220 (2019)