Skip to main navigation Skip to search Skip to main content

Time series forecasting: Obtaining long term trends with self-organizing maps

  • G. Simon
  • , A. Lendasse
  • , M. Cottrell
  • , J. C. Fort
  • , M. Verleysen
  • Université catholique de Louvain
  • Aalto University
  • SAMOS-MATISSE
  • CNRS C55830, Rte. Narbonne 118, F.

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)1795-1808
Number of pages14
JournalPattern Recognition Letters
Volume26
Issue number12
DOIs
StatePublished - Sep 2005
Externally publishedYes

ASJC Scopus Subject Areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Keywords

  • Long-term trends
  • Self-organizing maps
  • Time series forecasting

Fingerprint

Dive into the research topics of 'Time series forecasting: Obtaining long term trends with self-organizing maps'. Together they form a unique fingerprint.

Cite this