High Speed Training of a Fuzzy Classifier with Ellipsoidal Regions

• EGUCHI Takushi

  Graduate School of Science and Technology, Kobe University

• ABE Shigeo

  Graduate School of Science and Technology, Kobe University

Bibliographic Information

Other Title

• 楕円領域を持つファジィクラシファイアの高速学習方式
• ダエン リョウイキ オ モツ ファジィ クラシファイア ノ コウソク ガクシュウ ホウシキ

Abstract

In this paper, we discuss a fast training method for a fuzzy classifier with ellipsoidal regions. In the calculation of the degree of membership, first we decompose the covariance matrix into triangular matrices. Then we set small offdiagonal elements relative to diagonal elements to zero, and calculate the degree of membership by skipping zero elements. We demonstrate the effectiveness of our method using several benchmark data.

Journal

• Transactions of the Institute of Systems, Control and Information Engineers

  Transactions of the Institute of Systems, Control and Information Engineers 12 (9), 558-565, 1999

  THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

Keywords

• pattern recognition
• fuzzy classifiers
• high speed training

Details

• CRID: 1390001205165425024
• NII Article ID: 10004473539
• NII Book ID: AN1013280X
• DOI: 10.5687/iscie.12.558
• ISSN: 2185811X
• ISSN: 13425668
• NDL BIB ID: 4870973
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4870973
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed