Support vector machine parameter tuning based on particle swarm optimization metaheuristic

DOI10.15388/NAMC.2020.25.16517zbMath1435.68266OpenAlexW3006841480MaRDI QIDQ3295061

Gintautas Garšva, Konstantinas Korovkinas, Paulius Danėnas

Publication date: 30 June 2020

Published in: Nonlinear Analysis: Modelling and Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.15388/namc.2020.25.16517

zbMATH Keywords

particle swarm optimizationsupport vector machinetextual data classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Pattern recognition, speech recognition (68T10) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

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