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Volumn 38, Issue 4, 2011, Pages 4326-4338

The hybrid model of neural networks and genetic algorithms for the design of controls for internet-based systems for business-to-consumer electronic commerce

Author keywords

Genetic algorithms; ISB2C; ISB2C controls; ISB2C implementation; Neural networks

Indexed keywords

BACK-PROPAGATION NEURAL NETWORKS; BUSINESS-TO-CONSUMER ELECTRONIC COMMERCES; CANDIDATE SETS; HYBRID MODEL; HYBRID OPTIMIZATION; INDEPENDENT VARIABLES; INTERNET-BASED SYSTEMS; ISB2C; ISB2C CONTROLS; ISB2C IMPLEMENTATION; MEAN SQUARED ERROR; MODE OF CONTROL; MULTIVARIATE REGRESSION ANALYSIS; NEURAL NETWORKS AND GENETIC ALGORITHMS; NON-LINEAR REGRESSION ANALYSIS; POWER MODEL; PREDICTION ACCURACY; R SQUARE; SEARCH MECHANISM; SECURITY CONTROLS; SQUARE ROOTS; SUM OF SQUARED ERRORS; SYSTEM ENVIRONMENT;

EID: 78650680362     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.09.102     Document Type: Article
Times cited : (19)

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