A multivariate artificial neural network approach for rainfall forecasting: Case study of Victoria, Australia

Lecture Notes in Engineering and Computer Science

Volumn 1, Issue , 2012, Pages 557-561

  Mekanik, F ^a   Imteaz, M A ^a  

^a SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

ANN; ENSO; Forecasting; IOD; Rainfall

Indexed keywords

ATMOSPHERIC PRESSURE; CLIMATOLOGY; FORECASTING; NEURAL NETWORKS; OCEAN CURRENTS; WEATHER FORECASTING;

ARTIFICIAL NEURAL NETWORK APPROACH; ATMOSPHERIC PHENOMENA; EL NINO SOUTHERN OSCILLATION; ENSO; INDIAN OCEAN DIPOLES; NON-LINEAR RELATIONSHIPS; RAINFALL FORECASTING; VICTORIA , AUSTRALIA;

RAIN;

EID: 85020502508     PISSN: 20780958     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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