Multidimensional interpolation using artificial neural networks: Application to an H I cloud in Perseus

Details Multidimensional interpolation using artificial neural networks: Application to an H I cloud in Perseus Multidimensional interpolation using artificial neural networks: Application to an H I cloud in Perseus

Jan 1995

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995aj....109..312s&link_type=abstract

The Astronomical Journal (ISSN 0004-6256), vol. 109, no. 1669, p. 312-318

Astronomy and Astrophysics

Astronomy

4

Data Processing, Interpolation, Neural Nets, H I Regions, Interstellar Gas, Mapping, Spline Functions

Scientific paper

In this paper we propose a method for interpolating multidimensional unbinned data, which could also be sparse, using artificial neural network techniques. An artificial example is first presented in order to show the reliability and potential of the neural network interpolator. A robust behavior is found. We apply the technique to the mapping of a cloud of interstellar atomic hydrogen. The cloud was mapped in H I at 21 cm and we find the neural network method ideal for interpolating the unevenly sampled data, yielding a map from which the global physical parameters of the cloud can be readily obtained.

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