| Multiobjective Evolutionary Optimization of the Size, Shape, and Position Parameters of Radial Basis Function Networks for Function Approximation J Gonzalez, I Rojas, J Ortega, H Pomares, FJ Fernandez, AF Diaz IEEE Transactions on Neural Networks 14 (6), 1478-1495, 2003 | 269 | 2003 |
| G-Prop-II: Global Optimization of Multilayer Perceptrons using G As PA Castillo, V Rivas, JJ Merelo, J González, A Prieto, G Romero Congress on Evolutionary Computation, CEC’99 3, 2022, 1999 | 223* | 1999 |
| A new clustering technique for function approximation J González, H Rojas, J Ortega, A Prieto Neural Networks, IEEE Transactions on 13 (1), 132-142, 2002 | 182 | 2002 |
| Statistical analysis of the main parameters involved in the design of a genetic algorithm I Rojas, J González, H Pomares, JJ Merelo, PA Castillo, G Romero IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2002 | 161 | 2002 |
| A systematic approach to a self-generating fuzzy rule-table for function approximation H Pomares, I Rojas, J Ortega, J Gonzalez, A Prieto IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 30 …, 2000 | 139 | 2000 |
| A new multi-objective wrapper method for feature selection–Accuracy and stability analysis for BCI J González, J Ortega, M Damas, P Martín-Smith, JQ Gan Neurocomputing 333, 407-418, 2019 | 133 | 2019 |
| Structure identification in complete rule-based fuzzy systems H Pomares, I Rojas, J González, A Prieto Fuzzy Systems, IEEE Transactions on 10 (3), 349-359, 2002 | 85 | 2002 |
| Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off J León, JJ Escobar, A Ortiz, J Ortega, J González, P Martín-Smith, JQ Gan, ... Plos one 15 (6), e0234178, 2020 | 68 | 2020 |
| Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time I Rojas, H Pomares, J Gonzalez, LJ Herrera, A Guillén, F Rojas, ... Fuzzy Sets and Systems 157 (16), 2241-2258, 2006 | 67 | 2006 |
| Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms J González, I Rojas, H Pomares, LJ Herrera, A Guillén, JM Palomares, ... International Journal of Approximate Reasoning 44 (1), 32-44, 2007 | 57 | 2007 |
| Analysis of the functional block involved in the design of radial basis function networks I Rojas, H Pomares, J Gonzales, JL Bernier, E Ros, FJ Pelayo, A Prieto Neural Processing Letters 12, 1-17, 2000 | 47 | 2000 |
| Online global learning in direct fuzzy controllers H Pomares, I Rojas, J González, M Damas, B Pino, A Prieto IEEE Transactions on Fuzzy Systems 12 (2), 218-229, 2004 | 45 | 2004 |
| Classification of breast cancer histopathological images using KAZE features D Sanchez-Morillo, J González, M García-Rojo, J Ortega Bioinformatics and Biomedical Engineering: 6th International Work-Conference …, 2018 | 43 | 2018 |
| Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems A Guillén, H Pomares, J González, I Rojas, O Valenzuela, B Prieto Neurocomputing 72 (16-18), 3541-3555, 2009 | 42 | 2009 |
| Web newspaper layout optimization using simulated annealing J González, I Rojas, H Pomares, M Salmerón, JJ Merelo IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 32 …, 2002 | 41 | 2002 |
| Optimizing web page layout using an annealed genetic algorithm as client-side script JG Penalver, JJ Merelo International Conference on Parallel Problem Solving from Nature, 1018-1027, 1998 | 39 | 1998 |
| SA-Prop: Optimization of multilayer perceptron parameters using simulated annealing PA Castillo, JJ Merelo, J González, V Rivas, G Romero Foundations and Tools for Neural Modeling: International Work-Conference on …, 1999 | 38 | 1999 |
| A new radial basis function networks structure: Application to time series prediction I Rojas, H Pomares, J Gonzalez, E Ros, M Salmerón, J Ortega, A Prieto Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 36 | 2000 |
| Output value-based initialization for radial basis function neural networks A Guillén, I Rojas, J González, H Pomares, LJ Herrera, O Valenzuela, ... Neural Processing Letters 25, 209-225, 2007 | 35 | 2007 |
| General logarithmic image processing convolution JM Palomares, J González, E Ros, A Prieto IEEE Transactions on image processing 15 (11), 3602-3608, 2006 | 35 | 2006 |
Hector PomaresUniversity of GranadaVerified email at ugr.es
