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

European Journal of Operational Research

Volumn 195, Issue 2, 2009, Pages 543-551

  García Alonso, Carlos R ^a   Guardiola, Jorge ^b   Hervás Martínez, César ^a  

^a UNIVERSITY OF CÓRDOBA   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

Evolutionary algorithms; Logistic regression; Neural networks; Poor households; Product unit; Sustainability

Indexed keywords

EVOLUTIONARY ALGORITHMS; FLOW INTERACTIONS; LOGISTICS; REGRESSION ANALYSIS;

COMPLEX INTERACTIONS; COVARIATE; COVARIATES; INDEPENDENT VARIABLES; INNOVATION CAPACITIES; LOGISTIC REGRESSION; LOGISTIC REGRESSION ALGORITHMS; LOGISTIC REGRESSION MODELS; LOGISTIC REGRESSIONS; POOR HOUSEHOLDS; PRODUCT-UNIT; SUSTAINABILITY;

NEURAL NETWORKS;

EID: 56249099731     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2008.02.013     Document Type: Article

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