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Optimizing LightGBM for Regression: A Study on Parameter Influence and Performance

  • University of Applied Sciences Wiener Neustadt

Research output: Contribution to journalConference articlepeer-review

Original languageEnglish
Pages (from-to)2292-2297
Number of pages6
JournalIFAC-PapersOnLine
Volume59
Issue number10
DOIs
Publication statusPublished - 1 Jul 2025
Event11th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2025 - Trondheim, Norway
Duration: 30 Jun 20253 Jul 2025

Keywords

  • Artificial Intelligence
  • Forecasting
  • LightGBM
  • Production planning
  • Supply Chain Management
  • scheduling

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