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...

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Veröffentlicht in:Advanced Materials Research 2015-07, Vol.1117, p.261-264
Hauptverfasser: Tusor, Balázs, Várkonyi-Kóczy, Annamária R.
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Sprache:eng
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Classification
Clustering
Fuzzy control
Networks
System effectiveness
Training
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description 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.
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subjects Classification
Clustering
Fuzzy control
Networks
System effectiveness
Training
title A Hybrid Fuzzy-RBFN Filter for Data Classification
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