Classification of Jacoby Stellar Spectra Data Using Data Modeling

Details Classification of Jacoby Stellar Spectra Data Using Data Modeling Classification of Jacoby Stellar Spectra Data Using Data Modeling

Sep 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002spie.4816..296j&link_type=abstract

Imaging Spectrometry VIII. Edited by Shen, Sylvia S. Proceedings of the SPIE, Volume 4816, pp. 296-307 (2002).

Computer Science

Learning

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Classification of Jacoby Stellar Spectra Data Using Data Modeling does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Classification of Jacoby Stellar Spectra Data Using Data Modeling, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Classification of Jacoby Stellar Spectra Data Using Data Modeling will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1128721