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Radial Basis Function Network Learning with Modified Backpropagation Algorithm

Published in TELKOMNIKA Indonesian Journal of Electrical Engineering • Feb 1, 2015
NobleIDNI5P24W03R07S38
Authors:
Usman Muhammad Tukur
,
Siti Mariyam Shamsuddin

Abstract

Radial Basis Function Network (RBFN) is a class of Artificial Neural Network (ANN) that was used in many classification problems in science and engineering. Backpropagation (BP) algorithm is a learning algorithm that was widely used in ANN. However, BP has major disadvantages of slow error rate conv...

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