Unsupervised artificial neural nets for modelling the effects of climate change on New Zealand grape wines

18th World IMACS Congress and MODSIM 2009 - International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings

Volumn , Issue , 2009, Pages 803-809

  Shanmuganathan, S ^a   Sallis, P ^a   Narayanan, A ^a  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

Author keywords

Climate change effects; Self organising maps (SOM); WEBSOM; Wine quality

Indexed keywords

CULTIVATION; DISCRIMINANT ANALYSIS; GLOBAL WARMING; ODORS; SELF ORGANIZING MAPS; TEXT MINING;

ARTIFICIAL NEURAL NET; EXPERIMENTAL APPROACHES; FUTURE RESEARCH DIRECTIONS; MEDITERRANEAN COUNTRIES; MODELLING THE EFFECTS OF CLIMATE CHANGES; NON-PARAMETRIC STATISTICAL METHODS; SHORT-TERM CLIMATE CHANGES; TEMPERATURE STANDARD;

WINE;

EID: 85086237418     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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