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

Author Affiliations +

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE