Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Stellar parametrization using Artificial Neural Network   An update on recent methods for automated stellar parametrization is given.
We present preliminary results of the ongoing program for rapid parametrization
of field stars using medium resolution spectra obtained using Vainu Bappu
Telescope at VBO, Kavalur, India. We have used Artificial Neural Network for
estimating temperature, gravity, metallicity and absolute magnitude of the
field stars. The network for each parameter is trained independently using a
large number of calibrating stars. The trained network is used for estimating
atmospheric parameters of unexplored field stars.

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The categories of this paper are: gr-qc
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The categories of this paper are: acc-phys
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The categories of this paper are: math
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The categories of this paper are: hep-th
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The categories of this paper are: nlin
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The categories of this paper are: eess
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The categories of this paper are: cond-mat
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The categories of this paper are: solv-int
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-ex
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The categories of this paper are: cs
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The categories of this paper are: math-ph
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The categories of this paper are: adap-org
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The categories of this paper are: nucl-ex
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-ph