Reliability Checks on the Indo-US Stellar Spectral Library Using Artificial Neural Networks and Principal Component Analysis
スポンサーリンク
概要
- 論文の詳細を見る
- Astronomical Society of Japanの論文
- 2006-02-25
著者
-
Gupta Ranjan
Inter-university Center For Astronomy And Astrophysics
-
SINGH Harinder
Department of Physics and Astrophysics, University of Delhi
-
YUASA Manabu
Research Institute for Science and Technology, Kinki University
-
YAMAMOTO Nawo
Research Institute for Science and Technology, Kinki University
-
Yuasa Manabu
Research Institute For Science & Technology Kinki University
-
Yamamoto Nawo
Software Research Associates Inc.
-
Singh Harinder
Department Of Physics & Astrophysics University Of Delhi
-
Yamamoto Nawo
Research Institute For Science And Technology Kinki University
-
Gupta Ranjan
Inter Univ. Centre For Astronomy And Astrophysics Pune Ind
関連論文
- Reliability Checks on the Indo-US Stellar Spectral Library Using Artificial Neural Networks and Principal Component Analysis
- Identification of Peculiar Data by Using Restoration Method Based on Principal Component Analysis
- Distance Determination of Mass-Losing Stars
- Optical Spectroscopy of Candidates of Young Stellar Objects in NGC 1333
- Reproduction of Dynamical Systems with the Method of Principal Component Analysis
- Restoration of Missing Data and Reconstruction of Dynamical Systems
- Supplementation of Adjusted Values to the Imperfect Data
- A General Method for the Analysis of Observations
- High-Resolution Near-Infrared Polarimetry of a Circumstellar Disk around UX Tau A