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

被引：0
|
作者：
Pehlivan, Nimet Yapici [1 ]
Apaydin, Aysen [2 ]
机构：
[1] Selcuk Univ, Fac Sci & Art, Dept Stat, TR-42031 Konya, Turkey
[2] Ankara Univ, Fac Sci, Dept Stat, TR-06100 Ankara, Turkey
来源：
GAZI UNIVERSITY JOURNAL OF SCIENCE | 2008年 / 21卷 / 03期
关键词：
Fuzzy number; Fuzzy kernel regression estimator; Nonparametric regression; Neural networks; Fuzzy radial basis function networks;
D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
引用
收藏
页码：87 / 95
页数：9
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