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Logistic evolutionary product-unit neural networks: Innovation capacity of poor Guatemalan households.

, , and . European Journal of Operational Research, 195 (2): 543-551 (2009)

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Logistic evolutionary product-unit neural networks: Innovation capacity of poor Guatemalan households., , and . European Journal of Operational Research, 195 (2): 543-551 (2009)Improving crossover operator for real-coded genetic algorithms using virtual parents., , and . J. Heuristics, 13 (3): 265-314 (2007)A Structural Distance-Based Crossover for Neural Network Classifiers., , and . IJPRAI, (2012)A dynamic over-sampling procedure based on sensitivity for multi-class problems., , and . Pattern Recognition, 44 (8): 1821-1833 (2011)Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods., , , and . Expert Syst. Appl., 39 (9): 8350-8355 (2012)MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks., , , and . Neurocomputing, 74 (16): 2502-2510 (2011)Numerical variable reconstruction from ordinal categories based on probability distributions., , , , , and . ISDA, page 1182-1187. IEEE, (2011)Permanent disability classification using hybrid neuro-logistic regression models., , , and . HIMA, page 46-53. IEEE, (2011)Design of Artificial Neural Networks Using a Memetic Pareto Evolutionary Algorithm Using as Objectives Entropy versus Variation Coefficient., , , and . ISDA, page 408-413. IEEE Computer Society, (2009)Ordinal Regression Methods: Survey and Experimental Study., , , , and . IEEE Trans. Knowl. Data Eng., 28 (1): 127-146 (2016)