The Application of Artificial Neural Networks to Stellar Classification

Authors

Coryn A. L. Jones, Institute of Astronomy, Cambridge
Mike Irwin, Royal Greenwhich Observatory, Cambridge
Ted von Hippel, WIYN Telescope, National Optical Astronomy ObservatoriesFollow

Submitting Campus

Daytona Beach

Department

Physical Sciences

Document Type

Article

Publication/Presentation Date

1-1996

Abstract/Description

We are working on a project to automate the multi-parameter classification of stellar spectra using Principal Components Analysis (PCA) and Artificial Neural Networks. We present here the usefulness of PCA as a form of spectral data compression, and our results to date of classification on the MK system.

Publication Title

Astronomical Data Analysis Software and Systems V

Publisher

Astronomical Society of the Pacific

Additional Information

Dr. von Hippel was not affiliated with Embry-Riddle Aeronautical University at the time this paper was published.

Scholarly Commons Citation

Jones, C. A., Irwin, M., & Hippel, T. v. (1996). The Application of Artificial Neural Networks to Stellar Classification. Astronomical Data Analysis Software and Systems V, 101(). Retrieved from https://commons.erau.edu/publication/2073