Thursday , December 13 2018

On New RBF Neural Network Construction Algorithm for Classification

Amel SIFAOUI 
U. R. Automatique, ENIT
École Nationale d’Ingénieurs de Tunis (ENIT)
BP 37, Le Belvédère 1002 Tunis, Tunisie

Afef ABDELKRIM
U.R.Automatique, ENIT
Ecole Supérieure de Technologie et d’Informatique (ESTI)

Sonia ALOUANE 
École Nationale d’Ingénieurs de Tunis (ENIT)
BP 37, Le Belvédère 1002 Tunis, Tunisie

Mohamed BENREJEB 
U.R.Automatique, ENIT
École Nationale d’Ingénieurs de Tunis (ENIT)
BP 37, Le Belvédère 1002 Tunis, Tunisie

Abstract: The proposed method to construct a Radial Basis Function (RBF) neural network classifier is based on the use of a new algorithm for characterizing the hidden layer structure. This algorithm, called HNEM-k-means, groups the training data class by class in order to calculate the optimal number of clusters in each class, using new global and local evaluations of the partitions, obtained by the k-means algorithm. Two examples of data sets are considered to show the efficiency of the proposed approach and the obtained results are compared with previous existing classifiers.

Keywords: Radial Basis Function neural network, classification, k-means, validity indexes.

Amel Sifaoui has obtained the Master of Science in Computer Science in 1998 at Faculty of Sciences of Tunis (FST) and the PhD in Electrical Engineering at the National School of Engineers of Tunis (ENIT) in 2008; she is now a Laboratory Assistant at the Faculty of Sciences of Gafsa. Her research interests are in the artificial neuronal network domain.

Afef Abdelkrim has obtained a Diploma of Engineer in 2000 and the PhD in Electrical Engineering at the National School of Engineers of Tunis (ENIT) in 2005; she is now an Assistant Professor at the High School of Technology and Computer Science (ESTI). Her research interests are in handwriting process modelling and synthesis and in the artificial neuronal network domain.

Sonia Alouane has obtained a Graduate Diploma in Computer Science applied to management in 1994 at Institut Supérieur de Gestion Tunis and a post Graduate Diploma a specified for teaching Computer Science and technologie in National School of Computer Science (ENSI) called “Technologue” in 2000. Presently, she is teaching as “Assistante technologue” at the National School of Engineers of Tunis (ENIT), her research interests are in the artificial neuronal network domain.

Mohamed Benrejeb has obtained the Diploma of “Ingénieur IDN” (French “Grande Ecole”) in 1973, the Master degree of Automatic Control in 1974, the PhD in Automatic Control of the University (USTL) of Lille in 1976 and the DSc of the same University in 1980. He is currently a full Professor at the Ecole Nationale d’Ingénieurs de Tunis (Tunisia) and an Invited Professor at the Ecole Centrale de Lille (France). His research interests are in the area of analysis and synthesis of complex systems based on classical and non conventional approaches and recently in discrete event system domain.

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CITE THIS PAPER AS:
Amel SIFAOUI, Afef ABDELKRIM, Sonia ALOUANE, Mohamed BENREJEB, On New RBF Neural Network Construction Algorithm for Classification, Studies in Informatics and Control, ISSN 1220-1766, vol. 18 (2), pp. 103-110, 2009.