An active learning approach for radial basis function neural networks

• Main Authors: Abdullah, S. S., Allwright, J. C.
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2006
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/4112/1/JTD_2005_29.pdf; http://eprints.utm.my/id/eprint/4112/; http://www.penerbit.utm.my/onlinejournal/45/D/JTDis45D05.pdf

This paper presents a new Active Learning algorithm to train Radial Basis Function (RBF) Artificial Neural Networks (ANN) for model reduction problems. The new approach is based on the assumption that the unobserved training data y at input x, lies within a set F x y f x y f x ( ) : ( ) ( ) = ! ! &q...