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Publication Metadata only Analysis of comparisons for forecasting gold price using neural network, radial basis function network and support vector regression(2014-01-01) Khanoksin Suranart; Supaporn Kiattisin; Adisorn Leelasantitham; Mahidol UniversityThis research is done to study and analyze the comparison for forecasting the gold price using Neural Network, Radial Basis Function Network, and Support Vector Regression. Which the neural network radial basis function network and support vectorPublication Metadata only Prediction of soil nitrogen content using E-nose and radial basis function(2019-01-18) Jigme Norbu; Theerapat Pobkrut; Treenet Thepudom; Thinley Namgyel; Teerayut Chaiyasit; Yu Thazin; Teerakiat Kerdcharoen; Mahidol University, e-nose coupled with Radial Basis Function (RBF) is employed to determine the amount of nitrogen (N) which is one of the main nutrients in the soil. The results demonstrate that not only does the e-nose clearly discriminate the odors of soilPublication Metadata only Bagging of Duo Output Neural Networks for Single Output Regression Problem(2010-01-01) Somkid Amornsamankul; Pawalai Kraipeerapun; Mahidol University; Ramkhamhaeng Universityneural networks, and the ensemble of support vector machine with linear, polynomial, and radial basis function kernels. © 2010 IEEE.