Sunspot prediction using neural networks

Details Sunspot prediction using neural networks Sunspot prediction using neural networks

Mar 1990

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990stin...9025560v&link_type=abstract

In its Third Annual Workshop on Space Operations Automation and Robotics (SOAR 1989) p 525-535 (SEE N90-25503 19-59)

Computer Science

Artificial Intelligence

Artificial Intelligence, Neural Nets, Sun, Sunspots, Ecosystems, Observatories, Predictions

Scientific paper

The earliest systematic observance of sunspot activity is known to have been discovered by the Chinese in 1382 during the Ming Dynasty (1368 to 1644) when spots on the sun were noticed by looking at the sun through thick, forest fire smoke. Not until after the 18th century did sunspot levels become more than a source of wonderment and curiosity. Since 1834 reliable sunspot data has been collected by the National Oceanic and Atmospheric Administration (NOAA) and the U.S. Naval Observatory. Recently, considerable effort has been placed upon the study of the effects of sunspots on the ecosystem and the space environment. The efforts of the Artificial Intelligence Section of the Mission Planning and Analysis Division of the Johnson Space Center involving the prediction of sunspot activity using neural network technologies are described.

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