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Control of Generalization with a Bi-Objective Sliding Mode Control Algorithm., , , , and . SBRN, page 38-43. IEEE Computer Society, (2002)A Neo-Fuzzy-Neuron with Real-Time Training Applied to Flux Observer for an Induction Moto., , , and . SBRN, page 67-72. IEEE Computer Society, (1998)Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm., , and . SBRN, page 44-48. IEEE Computer Society, (2002)Online Neofuzzy Neuron Flux Observer for Induction Motor Drives., , , , and . JACIII, 6 (2): 84-92 (2002)Convergence analysis of sliding mode trajectories in multi-objective neural networks learning., , and . Neural Networks, (2012)Neural Networks Learning with Sliding Mode Control: The Sliding Mode Backpropagation Algorithm., , and . Int. J. Neural Syst., 9 (3): 187-193 (1999)Design of a pipeline leakage detection using expert system: A novel approach., , , and . Appl. Soft Comput., 11 (1): 1057-1066 (2011)Nonlinear System Identification Using a Neo Fuzzy Neuron Algorithm: Electrical Drive Application., , , and . Int. J. Neural Syst., 9 (3): 211-217 (1999)Training neural networks with a multi-objective sliding mode control algorithm., , , , and . Neurocomputing, (2003)SVM practical industrial application for mechanical faults diagnostic., , , and . Expert Syst. Appl., 38 (6): 6980-6984 (2011)