Prognosis of TiO2 abundance in lunar soil using a non-linear analysis of Clementine and LSCC data

Planetary and Space Science

Volumn 56, Issue 8, 2008, Pages 1063-1078

  Korokhin, Viktor V ^a   Kaydash, Vadym G ^a   Shkuratov, Yuriy G ^a   Stankevich, Dmitry G ^a   Mall, Urs ^b  

^a V N KARAZIN KHARKIV NATIONAL UNIVERSITY   (Ukraine)

^b MAX PLANCK INSTITUT FÜR SONNENSYSTEMFORSCHUNG   (Germany)

Author keywords

Artificial neural network; Chemical composition; Lunar surface; Prognosis; The moon; Titanium abundance

Indexed keywords

LINEAR REGRESSION; LUNAR SURFACE ANALYSIS; MINERALS; NEURAL NETWORKS; PARAMETER ESTIMATION; SOILS; ULTRAVIOLET RADIATION;

COMPOSITION PARAMETERS; LUNAR SURFACES; PROGNOSIS; TITANIUM ABUNDANCE;

TITANIUM DIOXIDE;

EID: 44649094541     PISSN: 00320633     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pss.2008.02.001     Document Type: Article

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