Feature selection method based on fuzzy entropy for regression in QSAR studies
Yazarlar (4)
Dr. Öğr. Üyesi Zehra ELMI Islamic Azad University, Qazvin Branch, İran
Karim Faez
Amirkabir University of Technology, İran
Amirkabir University of Technology, İran
Mohammad Goodarzi
Islamic Azad University, Arak Branch, İran
Islamic Azad University, Arak Branch, İran
Nasser Goudarzi
Shahrood University of Technology, İran
Shahrood University of Technology, İran
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Molecular Physics (Q3) | ||
| Dergi ISSN | 0026-8976 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2009 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 10-09-2009 |
| Cilt / Sayı / Sayfa | 107 / 17 / 1787–1798 | DOI | 10.1080/00268970903078559 |
| Makale Linki | https://doi.org/10.1080/00268970903078559 | ||
| UAK Araştırma Alanları |
Yapay Zeka
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| Özet |
| Feature selection and feature extraction are the most important steps in classification and regression systems. Feature selection is commonly used to reduce the dimensionality of datasets with tens or hundreds of thousands of features, which would be impossible to process further. Recent example includes quantitative structure–activity relationships (QSAR) dataset including 1226 features. A major problem of QSAR is the high dimensionality of the feature space; therefore, feature selection is the most important step in this study. This paper presents a novel feature selection algorithm that is based on entropy. The performance of the proposed algorithm is compared with that of a genetic algorithm method and a stepwise regression method. The root mean square error of prediction in a QSAR study using entropy, genetic algorithm and stepwise regression using multiple linear regressions model for training set and … |
| Anahtar Kelimeler |
| Feature selection | Fuzzy entropy | Genetic algorithm | Multiple linear regressions | Quantitative structure-activity relationships | Regression |
Science Direct
Feature selection method based on fuzzy entropy for regression in QSAR studies
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| Atıf Sayıları | |
| Scopus | 38 |
| Google Scholar | 42 |