Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery

Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery

This paper presents an approach that uses both genetic algorithm (GA) and fuzzy inference system (FIS), for feature selection for descriptor in a quantitative structure activity relationships (QSAR) classification and prediction problem. Unlike the traditional techniques that employed GA, the FIS is...

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Bibliographic Details
Main Authors: Houda Labjar, Mohammad Al-Sarem, Mohamed Kissi
Format: Article
Language:English
Published: University of Tehran 2022-02-01
Series:Journal of Information Technology Management
Subjects:
feature selection
machine learning
computational chemistry
qsar
fuzzy logic
genetic algorithms
Online Access:https://jitm.ut.ac.ir/article_84883_138c6bb7930c4dbdcc4bbaf8ac30f9ce.pdf
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