A Hybrid Fuzzy-RBFN Filter for Data Classification

A Hybrid Fuzzy-RBFN Filter for Data Classification

In this paper, a new filter network is presented that is based on Radial Base Function Networks (RBFNs). The output layer of the network is modified, in order to make it more effective in certain fuzzy control systems. The training of the network is solved by a clustering step, for which two differe...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Advanced Materials Research 2015-07, Vol.1117, p.261-264
Hauptverfasser: Tusor, Balázs, Várkonyi-Kóczy, Annamária R.
Format: Artikel
Sprache:eng
Schlagworte:
Classification
Clustering
Fuzzy control
Networks
System effectiveness
Training
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In this paper, a new filter network is presented that is based on Radial Base Function Networks (RBFNs). The output layer of the network is modified, in order to make it more effective in certain fuzzy control systems. The training of the network is solved by a clustering step, for which two different clustering methods are proposed. The suggested structure can efficiently be used for data classification.
ISSN:1022-6680
1662-8985
1662-8985
DOI:10.4028/www.scientific.net/AMR.1117.261