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

Nimet YAPICI PEHLİVAN; Ayşen APAYDIN

Article Details

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

Authors:

Nimet YAPICI PEHLİVAN | Ayşen APAYDIN

Publisher:

Gazi University

Journal:

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

Document Type:

Article

Publication Date:

3/2010

Document Language:

English

Document ID (Org No.):

2000430020

eISSN:

2147-1762

Abstract:

 


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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Article Details

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

Authors: Nimet YAPICI PEHLİVAN | Ayşen APAYDIN

Publisher: Gazi University

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

Document Type: Article

Publication Date: 3/2010

Document Language: English

Document ID (Org No.): 2000430020

eISSN: 2147-1762

Issues

Authors:

Nimet YAPICI PEHLİVAN | Ayşen APAYDIN

Publisher:

Gazi University

Journal:

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

Document Type:

Article

Publication Date:

3/2010

Document Language:

English

Document ID (Org No.):

2000430020

eISSN:

2147-1762