A Hybrid Fuzzy-RBFN Filter for Data Classification

Balázs Tusor; Annamária R. Várkonyi-Kóczy

doi:10.4028/www.scientific.net/AMR.1117.261

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1117A Hybrid Fuzzy-RBFN Filter for Data Classification

A Hybrid Fuzzy-RBFN Filter for Data Classification

Abstract:

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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Periodical:

Advanced Materials Research (Volume 1117)

Pages:

261-264

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1117.261

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Online since:

July 2015

Authors:

Balázs Tusor, Annamária R. Várkonyi-Kóczy

Keywords:

Classification, Clustering, Fuzzy Control System, Radial Base Function Networks, Supervised Machine Learning

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