A novel method for anomaly detection using beta Hebbian learning and principal component analysis

IF 0.6 4区数学 Q2 LOGIC

Logic Journal of the IGPL Pub Date : 2023-01-01 DOI:10.1093/jigpal/jzac026

Francisco Zayas-Gato, Álvaro Michelena, Héctor Quintián-Pardo, Esteban Jove, J. Casteleiro-Roca, Paulo Leitão, J. Calvo-Rolle

引用次数: 1

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一种基于Hebbian学习和主成分分析的异常检测新方法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Logic Journal of the IGPL 数学-数学

CiteScore

2.60

自引率

10.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Logic Journal of the IGPL publishes papers in all areas of pure and applied logic, including pure logical systems, proof theory, model theory, recursion theory, type theory, nonclassical logics, nonmonotonic logic, numerical and uncertainty reasoning, logic and AI, foundations of logic programming, logic and computation, logic and language, and logic engineering. Logic Journal of the IGPL is published under licence from Professor Dov Gabbay as owner of the journal.