Genetic algorithm based technique for defining threshold regression models

Proc. iEMSs 4th Biennial Meeting - Int. Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008

Volumn 1, Issue , 2008, Pages 303-310

  Pires, J C M ^a   Martins, F G ^a   Alvim Ferraz, M C M ^a   Pereira, M C ^a  

^a UNIVERSITY OF PORTO   (Portugal)

Author keywords

Genetic algorithms; Multiple linear regression; Ozone concentrations prediction; Threshold regression models

Indexed keywords

AVERAGE CONCENTRATION; CARBON MONOXIDE (CO); DEPENDENT VARIABLES; EXPLANATORY VARIABLES; HIGHER TEMPERATURES; METEOROLOGICAL DATA; MULTIPLE LINEAR REGRESSIONS; NITROGEN DIOXIDES; PERFORMANCE INDICES; REGRESSION PARAMETERS; SPECIFIC VALUES; THRESHOLD REGRESSIONS; WIND SPEED;

CARBON MONOXIDE; DECISION MAKING; GENETIC ALGORITHMS; INFORMATION TECHNOLOGY; LINEAR REGRESSION; METEOROLOGY; NITROGEN OXIDES; OZONE; SUN;

BEHAVIORAL RESEARCH;

EID: 79953279112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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