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Luis Javier Herrera
- > Home > Persons > Luis Javier Herrera
Publications
- 2023
- [c77]Juan Carlos Gómez-López, Daniel Castillo-Secilla, Jesús González, Luis Javier Herrera, Ignacio Rojas:
Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure. IWANN (1) 2023: 553-562 - 2010
- [j15]Luis Javier Herrera, Maria del Mar Pérez, J. Santana, R. Pulgar, Jesús González, Héctor Pomares, Ignacio Rojas:
Local-global neuro-fuzzy system for color change modelling. Int. J. Hybrid Intell. Syst. 7(4): 299-311 (2010) - [c38]Alberto Guillén, Carlos Tovar, Luis Javier Herrera, Héctor Pomares, Jesús González, José F. Guillén, Ignacio Rojas:
Predicting marital dissolutions using radial basis function neural networks. IJCNN 2010: 1-4 - 2009
- [c30]Luis Javier Herrera, Maria del Mar Pérez, J. Santana, R. Pulgar, Jesús González, Héctor Pomares, Ignacio Rojas Ruiz:
A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades. ISDA 2009: 1268-1273 - 2008
- [j8]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 Comput. Appl. 17(1): 75-89 (2008) - 2007
- [j7]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. Reason. 44(1): 32-44 (2007) - [j6]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González, Mohammed Awad, Ana Herrera:
Multigrid-based fuzzy systems for time series prediction: CATS competition. Neurocomputing 70(13-15): 2410-2425 (2007) - [j5]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) - [j3]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 Process. Lett. 25(3): 209-225 (2007) - [c27]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 - [c25]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 - [c24]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 - [c22]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 - 2006
- [j2]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 Syst. 157(16): 2241-2258 (2006) - [c21]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 - [c19]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 - [c18]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 - [c17]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 - 2005
- [c15]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 - [c14]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 - [c12]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 - [c11]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 - [c7]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 - [c6]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 - 2004
- [c5]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 - [c4]Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Jesús González, Alberto Prieto:
Fine control of monotonic systems using a global self-learning adaptive fuzzy controller. FUZZ-IEEE 2004: 1299-1303 - [c3]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 - [c1]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
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last updated on 2024-04-25 01:11 CEST by the dblp team
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