On sampling strategies for small and continuous data with the modeling of Genetic Programming and ANFIS

S Sen, EA Sezer, C Gokceoglu, S Yagiz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sampling strategies for different data characteristics (i.e. imbalanced, small, exhaustive) have been discussed in the literature for the last two decades. In this study, sampling problem of small and continuous data is focused. Sampling with measured data by employing k-fold and the sampling with synthetic data produced with fuzzy cmeans clustering are applied, and also their performances on genetic programming and adaptive neuro fuzzy inference system (ANFIS) are discussed. When the experimental results are considered fuzzy c-means based synthetic sampling can be proposed.
Original languageEnglish
Title of host publicationThe International Fuzzy Systems Association (IFSA)
Pages199-202
Number of pages4
Publication statusPublished - 2011
EventFUZZYSS'2011: 2nd International Fuzzy Systems Symposium: 17-18 November 2011, Ankara, Turkey - Ankara, Ankara, Turkey
Duration: Nov 17 2011Nov 18 2011
https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs518

Conference

ConferenceFUZZYSS'2011: 2nd International Fuzzy Systems Symposium
CountryTurkey
CityAnkara
Period11/17/1111/18/11
Internet address

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