Restoration of Missing Data and Reconstruction of Dynamical Systems

スポンサーリンク

概要

• 論文の詳細を見る

• 本文データの一部は、CiNiiから複製したものである。The eliminated data in Lorentz dynamical system is restored by using the generalized Principal Component Analysis (PCA). The restored data and the original data which has been eliminated, are compared. Both data have good coincidence. Adopting the original data only (case 1) and the data which includes partly the restored one (case 2), the reconstruction of Lorentz dynamical system, i.e. the system of the original differential equations, is examined respectively by the method of repeated PCA.

• 近畿大学の論文
• 2006-02-28

著者

• Yamamoto Nawo

  Software Research Associates Inc.

• YUASA Manabu

  RIST, Kinki University

• Yamamoto Nawo

  Research Institute For Science And Technology Kinki University

• Umetani Masafumi

  Department Of Astronomical Science The Graduate University For Advanced Studies

• Das M

  Institute Of Informatics & Communication University Of Delhi South Campus

• YAMAMOTO Nawo

  RIST, Kinki University

• UMETANI Masafumi

  RIST, Kinki University

• DAS M.K.

  Institute of Informatics & Communication, University of Delhi South Campus

• Yuasa Manabu

  Kinki Univ. Higashi‐osaka Jpn

関連論文

• Reliability Checks on the Indo-US Stellar Spectral Library Using Artificial Neural Networks and Principal Component Analysis
• Indicators of Chaos
• Identification of Peculiar Data by Using Restoration Method Based on Principal Component Analysis
• Restoration of Missing Data and Reconstruction of Dynamical Systems
• Supplementation of Adjusted Values to the Imperfect Data

スポンサーリンク