Artificial Neural Networks as a Tool for Prognosis of Chemical and Mineral Composition of Lunar Soils from Spectral Measurements

Details Artificial Neural Networks as a Tool for Prognosis of Chemical and Mineral Composition of Lunar Soils from Spectral Measurements Artificial Neural Networks as a Tool for Prognosis of Chemical and Mineral Composition of Lunar Soils from Spectral Measurements

Mar 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006lpi....37.1280k&link_type=abstract

37th Annual Lunar and Planetary Science Conference, March 13-17, 2006, League City, Texas, abstract no.1280

Computer Science

1

Scientific paper

We compared two statistical techniques (Multiple Linear Regression and
Artificial Neural Networks) for prognosis of lunar surface composition
using the LSCC data. The results may be a useful for analysis of data
obtained from SMART-1 and Chandrayaan missions.

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