Radial basis function neural network learning with modified backpropagation algorithm

• Main Author: Tukur, Usman Muhammad
• Format: Thesis
• Language: English
• Published: 2014
• Subjects: QA76 Computer software
• Online Access: http://eprints.utm.my/id/eprint/48593/1/UsmanMuhammadTukurMFC2014.pdf; http://eprints.utm.my/id/eprint/48593/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85206?queryType=vitalDismax&query=Radial+basis+function+neural+network+learning+with+modified+backpropagation+algorithm&public=true
• Institution: Universiti Teknologi Malaysia

Radial Basis Function Neural Network (RBFNN) is a class of Artificial Neural Network (ANN) widely used in science and engineering for classification problems with Backpropagation (BP) algorithm. However, major disadvantages of BP are due to the relatively slow convergence rate and always being trapp...