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Training recurrent neural networks using a hybrid algorithm., and . Neural Computing and Applications, 21 (3): 489-496 (2012)A hybrid approach for training recurrent neural networks: application to multi-step-ahead prediction of noisy and large data sets., , and . Neural Computing and Applications, 17 (3): 245-254 (2008)Hierarchical neural networks based prediction and control of dynamic reconfiguration for multilevel embedded systems., , and . Journal of Systems Architecture - Embedded Systems Design, 59 (1): 48-59 (2013)Reduced order model based neural network control of a squirrel cage induction motor drive., , and . Int. J. Systems Science, 29 (9): 981-987 (1998)A learning-automaton-based method for fuzzy inference system identification., , and . Int. J. Systems Science, 28 (9): 889-896 (1997)On the definition of non quadratic Lyapunov function for continuous Takagi Sugeno fuzzy models through their discretized forms., , , , , and . FUZZ-IEEE, page 1-7. IEEE, (2013)A New PID Neural Network Controller Design for Nonlinear Processes., , and . CoRR, (2015)A New PID Neural Network Controller Design for Nonlinear Processes., , and . Journal of Circuits, Systems, and Computers, 27 (4): 1850065:1-1850065:11 (2018)Neural Network Based Memory Access Prediction Support for SoC Dynamic Reconfiguration., , and . IJCNN, page 2823-2829. IEEE, (2006)A feedforward neural network behaving as a hierarchical system of automata.. Int. J. Systems Science, 30 (7): 689-695 (1999)