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Türkşen, İsmail Burhan
|Issue Date:||2009||Abstract:||This chapter presents the results of experiments applied to benchmark and real life datasets to evaluate the performance of proposed algorithms. The results are compared to other soft computing methods of system modeling. In this chapter, performance of the proposed Fuzzy Functions approaches is analyzed against performances of other well-known soft computing methods using several datasets. Our goal is to assess prediction performance and robustness of the proposed methodologies on real life datasets under a variety of scenarios by altering system parameters using cross validation analysis. © 2009 Springer-Verlag Berlin Heidelberg.||URI:||https://doi.org/10.1007/978-3-540-89924-2_6
|Appears in Collections:||Endüstri Mühendisliği Bölümü / Department of Industrial Engineering|
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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checked on Dec 26, 2022
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