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A supervised fuzzy clustering for Radial Basis Function Neural Networks training

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3 Author(s)
Tagliaferri, R. ; DMI, Salerno Univ., Baronissi, Italy ; Staiano, A. ; Scala, D.

In this paper we present a new learning algorithm for radial basis function neural networks (RBFNN's) based on a supervised fuzzy clustering technique. Our methodology follows the conditional fuzzy clustering presented by W. Pedrycz (1998) and permits to obtain a completely automatic clustering, where data agglomeration is based on both input and output pattern values

Published in:

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th  (Volume:3 )

Date of Conference:

25-28 July 2001