Swarm Intelligence and Snake Model For Automatic Sunspot Tracking

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we discuss the suitability and versatility ofa computer aided approach for identification andautomatic tracking of sunspots with the aim to studysolar evolution of sunspots and contribute to advancesin models for predicting Space Weather and itsinfluence on Earth.Our work crosses the discipline boundaries of AI andSolar Physics by proposing an automatic sunspottracking system based on a combined evolutionarySwarm Intelligence algorithm and Snake model. Anillustrative example of tracking one sunspot evolution ispresented to clarify the potential of the proposedapproach.
Original languageUnknown
Title of host publicationAI in Space: Intelligence beyond planet Earth
Pages6p.
Publication statusPublished - 1 Jan 2011
EventAI in Space: Intelligence beyond planet Earth Workshop -
Duration: 1 Jan 2011 → …

Conference

ConferenceAI in Space: Intelligence beyond planet Earth Workshop
Period1/01/11 → …

Cite this

Fonseca, J. M. M. R. D., Ribeiro, M. R. S. D. A., & DEE Group Author (2011). Swarm Intelligence and Snake Model For Automatic Sunspot Tracking. In AI in Space: Intelligence beyond planet Earth (pp. 6p.)