Interpretable machine learning applied to fusion plasmas

Created by W.Langdon from gp-bibliography.bib Revision:1.9010

@PhdThesis{Gillgren:thesis,

• author = "Andreas Gillgren",
• title = "Interpretable machine learning applied to fusion plasmas",
• school = "Department of Physics and Astronomy, Chalmers University of Technology",
• year = "2026",
• address = "Gothenburg, Sweden",
• keywords = "genetic algorithms, genetic programming, JET, Magnetic confinement fusion, Machine learning, Artificial intelligence, Interpretability, XAI, Tokamak, Pedestal",
• isbn13 = "978-91-8103-424-0",
• URL = "https://research.chalmers.se/publication/551933/file/551933_Fulltext.pdf",
• DOI = "0.63959/chalmers.dt/5881",
• size = "108 pages",
• notes = "Mention of GP

  Syupervisors: Par Strand and Dmytro Yadykin",

}

Genetic Programming entries for Andreas Gillgren

Citations