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Dergiler / Hacettepe Journal of Mathematics and Statistics / 2019 / Cilt: 48 - Sayı: 4

Regression parameters prediction in data set with outliers using neural network

Tahereh Razzaghnia
Sayfa
1170–1184
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The results show that the proposed method is not to be affected the outliers in the solving process.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Popular regression techniques often suffer at the presence of data outliers.
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Temel Bulgular & Veri:The different methods have proposed to make smaller the effect of the outlier on the parameter estimates.
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Sonuç & Katkı:The results show that the proposed method is not to be affected the outliers in the solving process.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Fuzzy regression · Outlier · Linear programming

Abstract

Popular regression techniques often suffer at the presence of data outliers. The different methods have proposed to make smaller the effect of the outlier on the parameter estimates. In this study, an algorithm has been addressed based on Adaptive network based fuzzy inference system to define the unknown parameters of regression model where dependent variable has outlier. So, three numerical examples are solved to test the activity of the proposed algorithm in regression model estimation. Also, the obtained results from the different methods, such as linear programming (LP) and fuzzy weights with linear programming (FWLP) are compared together. The results show that the proposed method is not to be affected the outliers in the solving process.

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Bu Makaleye Atıf Yap

Razzaghnia, T. (2022). Regression parameters prediction in data set with outliers using neural network. Hacettepe Journal of Mathematics and Statistics, Cilt: 48 - Sayı: 4, 1170–1184. https://ajindex.com/articles/529788

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