@article{article_96897, title={On the Comparison of Fuzzy Kernel Regression Estimator and Fuzzy Radial Basis Function Networks}, journal={Gazi University Journal of Science}, volume={21}, pages={87–95}, year={2010}, author={Yapıcı Pehlivan, Nimet and Apaydın, Ayşen}, keywords={Fuzzy number, Fuzzy kernel regression estimator, Nonparametric regression, Neural networks, Fuzzy radial basis function networks}, abstract={<p class="MsoNormal" style="margin-bottom: 0.0001pt; text-align: justify; line-height: normal;"> <span style="font-size: 8pt; font-family: "TimesNewRomanPSMT","serif";">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. </span> </p> <p class="MsoNormal" style="margin-bottom: 0.0001pt; text-align: justify; line-height: normal;"> <span style="font-size: 8pt; font-family: "TimesNewRomanPSMT","serif";">  </span> <strong> <span style="font-size: 8pt; font-family: "Times New Roman","serif";">Key Words </span> </strong> <span style="font-size: 8pt; font-family: "TimesNewRomanPSMT","serif";">: Fuzzy number, Fuzzy kernel regression estimator, Nonparametric regression, Neural networks, Fuzzy radial basis function networks. </span> </p> <p class="MsoNormal" style="text-align: justify;">  </p>}, number={3}, publisher={Gazi University}