Classification of Jacoby stellar spectra data using data modeling

Holger M. Jaenisch; Miroslav D. Filipovic

doi:10.1117/12.451527

8 November 2002 Classification of Jacoby stellar spectra data using data modeling

Holger M. Jaenisch, Miroslav D. Filipovic

Proceedings Volume 4816, Imaging Spectrometry VIII; (2002) https://doi.org/10.1117/12.451527
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

This paper presents the results of creating a Data Model by using neural equation networks of high order polynomials to achieve 100% correct classification of the Jacoby stellar spectra. The Jacoby set is a challenging group of 161 spectra spanning the full range of temperature, sub-temperature and luminosity groupings of standard star types. To achieve full learning, the development of a cascaded decision architecture linking an extensive network of polynomial decision equations was required. The two dominant features were extracted, and complex decision maps generated. Also, the sensitivity of the equation architecture to misclassification due to measurement noise was analyzed.

Citation Download Citation

Holger M. Jaenisch and Miroslav D. Filipovic "Classification of Jacoby stellar spectra data using data modeling", Proc. SPIE 4816, Imaging Spectrometry VIII, (8 November 2002); https://doi.org/10.1117/12.451527

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