Computer Science – Learning
Scientific paper
Mar 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006lpi....37.1474d&link_type=abstract
37th Annual Lunar and Planetary Science Conference, March 13-17, 2006, League City, Texas, abstract no.1474
Computer Science
Learning
Scientific paper
We present a new input feature mapping technique which is based on
Riemannian metric tensor to enhance the neural network learning
capability for predicting the reduced ion mobility based on the
molecular structure for NASA remote applications.
Duong T. A.
Kanik Inanc
Liu Danmin
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