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Adiel Castaño
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2010 – 2019
- 2018
- [j6]Francisco Fernández-Navarro
, Maria Angeles de la Cruz, Pedro Antonio Gutiérrez
Time series forecasting by recurrent product unit neural networks. Neural Comput. Appl. 29(3): 779-791 (2018) - 2016
- [j5]Adiel Castaño, Francisco Fernández-Navarro
Enforcement of the principal component analysis-extreme learning machine algorithm by linear discriminant analysis. Neural Comput. Appl. 27(6): 1749-1760 (2016) - 2013
- [j4]Adiel Castaño, Francisco Fernández-Navarro
PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis. Neural Process. Lett. 37(3): 377-392 (2013) - 2012
- [j3]Adiel Castaño, Francisco Fernández-Navarro
Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods. Expert Syst. Appl. 39(9): 8350-8355 (2012) - 2011
- [j2]Adiel Castaño, Francisco Fernández-Navarro
Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem. Neural Process. Lett. 34(2): 117-131 (2011) - [c2]Adiel Castaño Méndez, Francisco Fernández-Navarro
Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification. SOCO 2011: 263-270 - 2010
- [j1]Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez, María Matilda García, Pedro Antonio Gutiérrez:
Classification by evolutionary generalised radial basis functions. Int. J. Hybrid Intell. Syst. 7(4): 239-248 (2010)
2000 – 2009
- 2009
- [c1]Adiel Castaño, César Hervás-Martínez, Pedro Antonio Gutiérrez
Classification by Evolutionary Generalized Radial Basis Functions. ISDA 2009: 203-208
Coauthor Index
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