Implementation of a modified input output clustering algorithm for effective selection of RBF network centers

SELVER M. A., Güzeliş C.

5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, ICSCCW 2009, Famagusta, Cyprus (Gkry), 2 - 04 September 2009, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/icsccw.2009.5379459
  • City: Famagusta
  • Country: Cyprus (Gkry)
  • Dokuz Eylül University Affiliated: Yes

Abstract

This study presents a new algorithm which extends an input-output clustering method for determining the centers of an RBF network. The proposed method uses the estimated lipschitz constant of a function as an initial weighting factor for augmenting training samples and apply a batch clustering method for determining augmented centers. Then, it adjusts this weighting factor by applying a gradient descent minimization based on the output error of RBF network. The simulations show that the proposed algorithm reduces the RBF error and provides a useful tool for center determination.