Abstract
In this paper we discuss the suitabil- ity and versatility of a computer aided approach for identification and automatic tracking of sunspots with the aim to study solar evolution of sunspots and contribute to advances in models for predict- ing space weather and its influence on Earth. Our work crosses the discipline boundaries of AI and Solar Physics by proposing an automatic sunspot tracking system based on a combined evolutionary Swarm Intelligence algorithm and Snake model. Some illustrative examples of tracking sunspot evo- lutions are presented to clarify the potential of the proposed approach.
Original language | Unknown |
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Pages (from-to) | 153-161 |
Journal | Acta Futura |
Volume | 5 |
Issue number | NA |
DOIs | |
Publication status | Published - 1 Jan 2012 |