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Prediction of sea surface temperature in the Gulf of Thailand using neural network approach
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.orgCitation: Paper number 032003, 2003 ASAE Annual Meeting . (doi: 10.13031/2013.14935) @2003
Authors: Ramesh Kumar Gautam, So Kazama, Suranjan Panigrahi
Keywords: Gulf of Thailand, sea surface temperature, back propagation, radial basis function, modular neural networks
Back propagation, modular and radial basis function neural networks were
developed to predict the variation of sea surface temperature at different buoy stations in
the Gulf of Thailand. Each model was trained and tested with the same number of