On the Comparison of Fuzzy Kernel Regression Estimator and Fuzzy Radial Basis Function Networks

Nimet YAPICI PEHLİVAN; Ayşen APAYDIN

Makale detayları

On the Comparison of Fuzzy Kernel Regression Estimator and Fuzzy Radial Basis Function Networks

Yazarlar:

Nimet YAPICI PEHLİVAN | Ayşen APAYDIN

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2008 Vol.21 Issue 3, pp.87-95

Belge Tipi:

Makale

Yayın Tarihi:

3/2010

Belge Dili:

İngilizce

Document ID (Org No.):

2000430020

eISSN:

2147-1762

Özet:

 


In this paper, we suggest two fuzzy estimators in nonparametric regression: fuzzy kernel regression (FNPR) estimator and fuzzy radial basis function (FRBF) networks. Both FNPR estimator and FRBF networks are applied to original data taken from an experiment. We obtain MSE values of the FNPR estimator and FRBF networks and then compare them. We show that the FNPR estimator is more efficient than the FRBF networks. 

 Key Words: Fuzzy number, Fuzzy kernel regression estimator, Nonparametric regression, Neural networks, Fuzzy radial basis function networks.

 

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Makale detayları

On the Comparison of Fuzzy Kernel Regression Estimator and Fuzzy Radial Basis Function Networks

Yazarlar: Nimet YAPICI PEHLİVAN | Ayşen APAYDIN

Yayıncı: Gazi University

Dergi: Gazi University Journal of Science 2008 Vol.21 Issue 3, pp.87-95

Belge Tipi: Makale

Yayın Tarihi: 3/2010

Belge Dili: İngilizce

Document ID (Org No.): 2000430020

eISSN: 2147-1762

Sayı

Yazarlar:

Nimet YAPICI PEHLİVAN | Ayşen APAYDIN

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2008 Vol.21 Issue 3, pp.87-95

Belge Tipi:

Makale

Yayın Tarihi:

3/2010

Belge Dili:

İngilizce

Document ID (Org No.):

2000430020

eISSN:

2147-1762