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A low-complexity fuzzy activation function for artificial neural networks., , , , , and . IEEE Trans. Neural Networks, 14 (6): 1576-1579 (2003)Profiled support vector machines for antisense oligonucleotide efficacy prediction., , , , and . BMC Bioinform., (2004)Modelling net radiation at surface using "in situ" netpyrradiometer measurements with artificial neural networks., , , , , and . Expert Syst. Appl., 38 (11): 14190-14195 (2011)Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients., , , , , , , , , and 2 other author(s). Expert Syst. Appl., 39 (10): 8793-8798 (2012)Weekly milk prediction on dairy goats using neural networks., , , , , , , and . Neural Comput. Appl., 16 (4-5): 373-381 (2007)Analysis of ventricular fibrillation signals using feature selection methods., , , , , and . CIP, page 1-6. IEEE, (2012)Steady-state and tracking analysis of a robust adaptive filter with low computational cost., , , , and . Signal Process., 87 (1): 210-215 (2007)Regularized Committee of Extreme Learning Machine for Regression Problems., , , , , and . ESANN, (2012)Neural Networks Ensemble for Cyclosporine Concentration Monitoring., , , , , and . ICANN, volume 2130 of Lecture Notes in Computer Science, page 706-711. Springer, (2001)Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques., , , , , , , , , and 3 other author(s). Comput. Methods Programs Biomed., 117 (2): 208-217 (2014)