| 2008 |
|---|
| 69 | EE | Olga Valenzuela,
Ignacio Rojas,
Fernando Rojas,
Héctor Pomares,
Luis Javier Herrera,
Alberto Guillén,
Luisa Marquez,
Miguel Pasadas:
Hybridization of intelligent techniques and ARIMA models for time series prediction.
Fuzzy Sets and Systems 159(7): 821-845 (2008) |
| 68 | EE | Alberto Guillén,
Héctor Pomares,
Ignacio Rojas,
Jesús González,
Luis Javier Herrera,
Fernando Rojas,
Olga Valenzuela:
Studying possibility in a clustering algorithm for RBFNN design for function approximation.
Neural Computing and Applications 17(1): 75-89 (2008) |
| 67 | EE | Ignacio Rojas,
Olga Valenzuela,
Fernando Rojas,
Alberto Guillén,
Luis Javier Herrera,
Héctor Pomares,
Luisa Marquez,
Miguel Pasadas:
Soft-computing techniques and ARMA model for time series prediction.
Neurocomputing 71(4-6): 519-537 (2008) |
| 2007 |
|---|
| 66 | EE | Alberto Guillén,
Jesús González,
Ignacio Rojas,
Héctor Pomares,
Luis Javier Herrera,
Francisco Fernández:
A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application.
FUZZ-IEEE 2007: 1-6 |
| 65 | EE | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Alberto Guillén,
Ginés Rubio:
On Incorporating Seasonal Information on Recursive Time Series Predictors.
ICANN (2) 2007: 506-515 |
| 64 | EE | Alberto Guillén,
Ignacio Rojas,
Jesús González,
Héctor Pomares,
Luis Javier Herrera,
Ben Paechter:
Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization.
ICANNGA (1) 2007: 85-92 |
| 63 | EE | Miguel Ángel López,
Héctor Pomares,
Miguel Damas,
Antonio Díaz Estrella,
Alberto Prieto,
Francisco J. Pelayo,
Eva María de la Plaza Hernández:
Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments.
IWANN 2007: 170-177 |
| 62 | EE | Alberto Guillén,
Héctor Pomares,
Jesús González,
Ignacio Rojas,
Luis Javier Herrera,
Alberto Prieto:
Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems.
IWANN 2007: 341-350 |
| 61 | EE | Ginés Rubio,
Héctor Pomares,
Luis Javier Herrera,
Ignacio Rojas:
Kernel Methods Applied to Time Series Forecasting.
IWANN 2007: 782-789 |
| 60 | EE | Miguel Ángel López,
Héctor Pomares,
Miguel Damas,
Eduardo Madrid,
Alberto Prieto,
Francisco J. Pelayo,
Eva María de la Plaza Hernández:
Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces.
IWANN 2007: 956-963 |
| 59 | EE | Alberto Guillén,
Ignacio Rojas Ruiz,
Jesús González,
Héctor Pomares,
Luis Javier Herrera:
A First Approach to Birth Weight Prediction Using RBFNNs.
IWINAC (1) 2007: 253-260 |
| 58 | EE | Miguel Ángel López,
Héctor Pomares,
Miguel Damas,
Alberto Prieto,
Eva María de la Plaza Hernández:
Use of Kohonen Maps as Feature Selector for Selective Attention Brain-Computer Interfaces.
IWINAC (1) 2007: 407-415 |
| 57 | EE | Jesús González,
Ignacio Rojas,
Héctor Pomares,
Luis Javier Herrera,
Alberto Guillén,
José M. Palomares,
Fernando Rojas:
Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms.
Int. J. Approx. Reasoning 44(1): 32-44 (2007) |
| 56 | EE | Alberto Guillén,
Ignacio Rojas,
Jesús González,
Héctor Pomares,
Luis Javier Herrera,
Olga Valenzuela,
Fernando Rojas:
Output value-based initialization for radial basis function neural networks.
Neural Processing Letters 25(3): 209-225 (2007) |
| 55 | EE | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Alberto Guillén,
Jesús González,
Mohammed Awad,
A. Herrera:
Multigrid-based fuzzy systems for time series prediction: CATS competition.
Neurocomputing 70(13-15): 2410-2425 (2007) |
| 54 | EE | Alberto Guillén,
Jesús González,
Ignacio Rojas,
Héctor Pomares,
Luis Javier Herrera,
Olga Valenzuela,
Alberto Prieto:
Using fuzzy logic to improve a clustering technique for function approximation.
Neurocomputing 70(16-18): 2853-2860 (2007) |
| 53 | EE | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Alberto Guillén,
Alberto Prieto,
Olga Valenzuela:
Recursive prediction for long term time series forecasting using advanced models.
Neurocomputing 70(16-18): 2870-2880 (2007) |
| 2006 |
|---|
| 52 | EE | Alberto Guillén,
Ignacio Rojas,
Jesús González,
Héctor Pomares,
Luis Javier Herrera,
Ben Paechter:
Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation.
Australian Conference on Artificial Intelligence 2006: 1127-1132 |
| 51 | EE | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Michel Verleysen,
Alberto Guillén:
Effective Input Variable Selection for Function Approximation.
ICANN (1) 2006: 41-50 |
| 50 | EE | Alberto Guillén,
Ignacio Rojas,
Jesús González,
Héctor Pomares,
Luis Javier Herrera,
Francisco Fernández:
Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction.
ICNC (1) 2006: 511-520 |
| 49 | EE | Alberto Guillén,
Ignacio Rojas,
Jesús González,
Héctor Pomares,
Luis Javier Herrera,
Alberto Prieto:
Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems.
IJCNN 2006: 3175-3180 |
| 48 | EE | Alberto Guillén,
Ignacio Rojas,
Jesús González,
Héctor Pomares,
Luis Javier Herrera,
Alberto Prieto:
A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design.
RSCTC 2006: 647-656 |
| 47 | EE | Ignacio Rojas,
Héctor Pomares,
Jesús González,
Luis Javier Herrera,
Alberto Guillén,
Fernando Rojas Ruiz,
Olga Valenzuela:
Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time.
Fuzzy Sets and Systems 157(16): 2241-2258 (2006) |
| 46 | EE | Jesús González,
Ignacio Rojas,
Héctor Pomares,
Fernando Rojas,
José M. Palomares:
Multi-objective evolution of fuzzy systems.
Soft Comput. 10(9): 735-748 (2006) |
| 2005 |
|---|
| 45 | EE | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Alberto Guillén,
Mohammed Awad,
Olga Valenzuela:
Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation.
ECSQARU 2005: 613-624 |
| 44 | EE | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Alberto Guillén,
Jesús González:
New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems.
ECSQARU 2005: 980-991 |
| 43 | EE | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Alberto Guillén,
Olga Valenzuela,
Alberto Prieto:
TaSe Model for Long Term Time Series Forecasting.
IWANN 2005: 1027-1034 |
| 42 | EE | Alberto Guillén,
Ignacio Rojas,
Jesús González,
Héctor Pomares,
Luis Javier Herrera,
Olga Valenzuela,
Alberto Prieto:
Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm.
IWANN 2005: 272-279 |
| 41 | EE | Mohammed Awad,
Héctor Pomares,
Ignacio Rojas,
Luis Javier Herrera,
Alberto Prieto:
Input Variable Selection in Hierarchical RBF Networks.
IWANN 2005: 280-288 |
| 40 | EE | Mohammed Awad,
Héctor Pomares,
Luis Javier Herrera,
Jesús González,
Alberto Guillén,
Fernando Rojas:
Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach.
IWANN 2005: 289-296 |
| 39 | EE | Ginés Rubio,
Héctor Pomares:
A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Interpolation.
IWANN 2005: 34-41 |
| 38 | EE | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Alberto Guillén,
Jesús González,
Mohammed Awad:
Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models.
IWANN 2005: 399-406 |
| 37 | EE | Ginés Rubio,
Héctor Pomares,
Ignacio Rojas,
Alberto Guillén:
A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Regression in 1D and 2D Cases.
IWINAC (2) 2005: 143-152 |
| 36 | EE | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Alberto Guillén,
Mohammed Awad,
Jesús González:
Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model.
RSFDGrC (1) 2005: 402-411 |
| 35 | EE | Alberto Guillén,
Ignacio Rojas,
Jesús González,
Héctor Pomares,
Luis Javier Herrera,
Olga Valenzuela,
Alberto Prieto:
A Possibilistic Approach to RBFN Centers Initialization.
RSFDGrC (2) 2005: 174-183 |
| 34 | EE | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Olga Valenzuela,
Alberto Prieto:
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy.
Fuzzy Sets and Systems 153(3): 403-427 (2005) |
| 2004 |
|---|
| 33 | EE | Luis Javier Herrera,
Ignacio Rojas Ruiz,
Héctor Pomares,
Olga Valenzuela,
Jesús González,
Mohammed Awad:
MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality.
ESANN 2004: 127-132 |
| 32 | EE | Ignacio Rojas Ruiz,
Héctor Pomares:
Soft-computing techniques for time series forecasting.
ESANN 2004: 93-102 |
| 31 | EE | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Olga Valenzuela,
Mohammed Awad:
MultiGrid-Based Fuzzy Systems for Function Approximation.
MICAI 2004: 252-261 |
| 30 | EE | Ignacio Rojas,
Fernando Rojas,
Héctor Pomares,
Luis Javier Herrera,
Jesús González,
Olga Valenzuela:
The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction.
MICAI 2004: 30-39 |
| 29 | EE | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Jesús González,
Olga Valenzuela:
Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning.
MICAI 2004: 508-516 |
| 28 | EE | Héctor Pomares,
Ignacio Rojas Ruiz,
Jesús González,
Miguel Damas,
Begoña Pino,
Alberto Prieto:
Online global learning in direct fuzzy controllers.
IEEE T. Fuzzy Systems 12(2): 218-229 (2004) |
| 2003 |
|---|
| 27 | EE | Jesús González,
Ignacio Rojas,
Héctor Pomares,
Julio Ortega:
Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks.
IWANN (1) 2003: 454-461 |
| 26 | EE | Jesús González,
Ignacio Rojas,
Héctor Pomares,
Julio Ortega:
Studying the Convergence of the CFA Algorithm.
IWANN (1) 2003: 550-557 |
| 2002 |
|---|
| 25 | EE | Héctor Pomares,
Ignacio Rojas,
Jesús González:
New Methodology for Structure Identification of Fuzzy Controllers in Real Time.
IBERAMIA 2002: 845-854 |
| 24 | EE | Jesús González,
Ignacio Rojas,
Héctor Pomares:
Neural Networks, Clustering Techniques, and Function Approximation Problems.
ICANN 2002: 553-558 |
| 23 | EE | Jesús González,
Ignacio Rojas,
Héctor Pomares,
Alberto Prieto,
Karl Goser:
Evolutionary Training of Neuro-fuzzy Patches for Function Approximation.
ICANN 2002: 559-564 |
| 22 | EE | Jesús González,
Ignacio Rojas,
Héctor Pomares:
Evolutive Identification of Fuzzy Systems for Time-Series Prediction.
PPSN 2002: 517-526 |
| 21 | | Jesús González,
Ignacio Rojas,
Héctor Pomares,
Moisés Salmerón,
Juan J. Merelo Guervós:
Web newspaper layout optimization using simulated annealing.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(5): 686-691 (2002) |
| 20 | | Ignacio Rojas,
Jesús González,
Héctor Pomares,
Juan J. Merelo Guervós,
Pedro A. Castillo Valdivieso,
Gustavo Romero:
Statistical analysis of the main parameters involved in the design of a genetic algorithm.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 32(1): 31-37 (2002) |
| 19 | EE | Héctor Pomares,
Ignacio Rojas,
Jesús González,
Fernando Rojas,
Miguel Damas,
F. J. Fernández:
A two-stage approach to self-learning direct fuzzy controllers.
Int. J. Approx. Reasoning 29(3): 267-289 (2002) |
| 18 | EE | Ignacio Rojas,
Héctor Pomares,
José Luis Bernier,
Julio Ortega,
Begoña Pino,
Francisco J. Pelayo,
Alberto Prieto:
Time series analysis using normalized PG-RBF network with regression weights.
Neurocomputing 42(1-4): 267-285 (2002) |
| 2001 |
|---|
| 17 | | Ignacio Rojas,
Héctor Pomares,
Jesús González,
P. Gloesekotter,
J. Diestuhl,
Karl Groser:
A New Sequential Learning Algorithm Using Pseudo-gaussian Functions for Neuro-fuzzy Systems.
FUZZ-IEEE 2001: 1243-1246 |
| 16 | | Ignacio Rojas Ruiz,
Héctor Pomares,
Jesús González,
P. Gloesekotter,
J. Diestuhl,
Karl Groser:
Multideme Evolution algorithm Based Approach to the Generation of Fuzzy Systems.
FUZZ-IEEE 2001: 1412-1415 |
| 15 | | Héctor Pomares,
Ignacio Rojas,
Jesús González,
Miguel Damas,
Alberto Prieto:
Fine Tuning of Fuzzy of Fuzzy Controllers Using a Two-stage Algorithm.
FUZZ-IEEE 2001: 1479-1482 |
| 14 | | Héctor Pomares,
Ignacio Rojas,
Jesús González,
Alberto Prieto:
A Method for Structure Identification in Complete Rule-based Fuzzy Systems.
FUZZ-IEEE 2001: 376-379 |
| 13 | | Héctor Pomares,
Ignacio Rojas,
Jesús González,
Miguel Damas,
Alberto Prieto:
An Enhanced Self-organizing Controller for Real-time Process-control Applications.
FUZZ-IEEE 2001: 856-859 |
| 12 | EE | Jesús González,
Ignacio Rojas,
Héctor Pomares,
Julio Ortega:
RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting.
IWANN (1) 2001: 498-505 |
| 11 | EE | Héctor Pomares,
Ignacio Rojas,
Jesús González,
Miguel Damas:
A Novel Approach to Self-Adaptation of Neuro-fuzzy Controllers in Real Time.
IWANN (1) 2001: 530-537 |
| 10 | EE | Jesús González,
Ignacio Rojas,
Héctor Pomares,
Moisés Salmerón:
Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks.
IWANN (1) 2001: 538-545 |
| 9 | EE | Jesús González,
Ignacio Rojas,
Héctor Pomares,
Moisés Salmerón,
Alberto Prieto,
Juan J. Merelo Guervós:
Optimization of web newspaper layout in real time.
Computer Networks 36(2/3): 311-321 (2001) |
| 8 | | Miguel Damas,
Moisés Salmerón,
Julio Ortega,
G. Olivares,
Héctor Pomares:
Parallel dynamic water supply scheduling in a cluster of computers.
Concurrency and Computation: Practice and Experience 13(15): 1281-1302 (2001) |
| 7 | EE | Ignacio Rojas,
Jesús González,
Héctor Pomares,
Fernando Rojas,
F. J. Fernández,
Alberto Prieto:
Multidimensional and multideme genetic algorithms for the construction of fuzzy systems.
Int. J. Approx. Reasoning 26(3): 179-210 (2001) |
| 2000 |
|---|
| 6 | EE | Ignacio Rojas,
Héctor Pomares,
Jesús González,
Eduardo Ros,
Moisés Salmerón,
Julio Ortega,
Alberto Prieto:
A New Radial Basis Function Networks Structure: Application to Time Series Prediction.
IJCNN (4) 2000: 449-454 |
| 5 | | Héctor Pomares,
Ignacio Rojas,
Julio Ortega,
Jesús González,
Alberto Prieto:
A systematic approach to a self-generating fuzzy rule-table for function approximation.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(3): 431-447 (2000) |
| 4 | | Ignacio Rojas,
Héctor Pomares,
Jesús González,
José Luis Bernier,
Eduardo Ros Vidal,
Francisco J. Pelayo,
Alberto Prieto:
Analysis of the Functional Block Involved in the Design of Radial Basis Function Networks.
Neural Processing Letters 12(1): 1-17 (2000) |
| 1999 |
|---|
| 3 | | Ignacio Rojas,
Héctor Pomares,
Julio Ortega,
Eduardo Ros Vidal,
Alberto Prieto:
Sequential Learning Algorithm for PG-RBF Network Using Regression Weights for Time Series Prediction.
IWANN (1) 1999: 631-640 |
| 2 | EE | Ignacio Rojas,
Héctor Pomares,
Francisco J. Pelayo,
Mancia Anguita,
Eduardo Ros Vidal,
Alberto Prieto:
New methodology for the development of adaptive and self-learning fuzzy controllers in real time.
Int. J. Approx. Reasoning 21(2): 109-136 (1999) |
| 1998 |
|---|
| 1 | EE | Ignacio Rojas Ruiz,
Mancia Anguita,
Eduardo Ros Vidal,
Héctor Pomares,
Olga Valenzuela,
Alberto Prieto:
What are the main factors involved in the design of a Radial Basis Function Network?
ESANN 1998: 1-6 |
