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Publication 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.Publication Metadata only Solving regression problem with complementary neural networks and an adjusted averaging technique(2010-12-01) Pawalai Kraipeerapun; Sathit Nakkrasae; Chun Che Fung; Somkid Amornsamankul; Ramkhamhaeng University; Murdoch University; Mahidol University; South Carolina Commission on Higher Educationindustry. We found that our proposed technique provides better performance when compared to the traditional CMTNN, backpropagation neural network, and support vector regression with linear, polynomial, and radial basis function kernels. © 2010 SpringerPublication Metadata only Applying duo output neural networks to solve single output regression problem(2009-12-01) Pawalai Kraipeerapun; Somkid Amornsamankul; Chun Che Fung; Sathit Nakkrasae; Ramkhamhaeng University; Mahidol University; Murdoch Universitywith linear, polynomial, and radial basis function kernels. © 2009 Springer-Verlag Berlin Heidelberg.
