Robot manipulator identification based on adaptive multiple-input and multiple-output neural model optimized by advanced differential evolution algorithm
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[1] Saudi Arabia,et al. A Differential Evolution Based Adaptive Neural Network Pitch Controller for a Doubly Fed Wind Turbine Generator System , 2013 .
[2] Ching-Hung Lee,et al. Performance enhancement of the differential evolution algorithm using local search and a self-adaptive scaling factor , 2012 .
[3] Joni-Kristian Kämäräinen,et al. Differential Evolution Training Algorithm for Feed-Forward Neural Networks , 2003, Neural Processing Letters.
[4] Yonggwan Won,et al. The Use of Evolutionary Algorithm in Training Neural Networks for Hematocrit Estimation , 2009 .
[5] K. Bandurski,et al. Training neural networks with a hybrid differential evolution algorithm , 2009 .
[6] M. J. Nigam,et al. Neuro-Fuzzy based Approach for Inverse Kinematics Solution of Industrial Robot Manipulators , 2008, Int. J. Comput. Commun. Control.
[7] Nguyen Thanh Nam,et al. Novel Adaptive Forward Neural MIMO NARX Model for the Identification of Industrial 3-DOF Robot Arm Kinematics , 2012 .
[8] R. Storn,et al. Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces , 2004 .
[9] J. Humberto Pérez-Cruz,et al. Evolving intelligent system for the modelling of nonlinear systems with dead-zone input , 2014, Appl. Soft Comput..
[10] Saikat Singha Roy. Effective System Identification Using Fused Network and DE Based Training Scheme , 2013 .
[11] Xiaodong Liu,et al. The PID Controller Based on the Artificial Neural Network and the Differential Evolution Algorithm , 2012, J. Comput..
[12] M. Bialko,et al. Training of artificial neural networks using differential evolution algorithm , 2008, 2008 Conference on Human System Interactions.
[13] Sibarama Panigrahi,et al. A Modified Differential Evolution Algorithm trained Pi-Sigma Neural Network for Pattern Classification , 2013 .
[14] Swati Swayamsiddha,et al. Nonlinear System Identification using Evolutionary Computing based Training Schemes , 2013 .
[15] Jose de Jesus Rubio,et al. Modified optimal control with a backpropagation network for robotic arms , 2012 .
[16] Bidyadhar Subudhi,et al. Nonlinear system identification using memetic differential evolution trained neural networks , 2011, Neurocomputing.
[17] Stefen Hui,et al. Application of feedforward neural networks to dynamical system identification and control , 1993, IEEE Trans. Control. Syst. Technol..
[18] Springer-Verlag London,et al. Adaptive neural controller for space robot system with an attitude controlled base , 2013 .
[19] Cheng-Jian Lin,et al. DESIGN OF A RECURRENT FUNCTIONAL NEURAL FUZZY NETWORK USING MODIFIED DIFFERENTIAL EVOLUTION , 2010 .
[20] Fernando Bordignon,et al. Uninorm based evolving neural networks and approximation capabilities , 2014, Neurocomputing.
[21] José de Jesús Rubio,et al. Dynamic model with sensor and actuator for an articulated robotic arm , 2012, Neural Computing and Applications.
[22] José de Jesús Rubio,et al. Evolving intelligent algorithms for the modelling of brain and eye signals , 2014, Appl. Soft Comput..