An Analysis of Inverse-problem on Magnetopneumography with Radial Basis Function Networks

• Zheng Y.

  TOKYO DENKI UNIVERSITY

• Kotani M.

  TOKYO DENKI UNIVERSITY

Bibliographic Information

Other Title

• 動径基底関数ネットワークにおける肺磁界逆問題の解析
• ドウケイ キテイ カンスウ ネットワーク ニ オケル ハイ ジカイ ギャク モ

Abstract

In this research, We analyze the inverse problem of magnetopneumography and magnetic field pattern produced from the lung using Radial Function Networks (RBFN) with smoothing ability. We show that radial basis function is naturally derived by calculation of the magnetic fields and that RBFN composed of elements with such output function is useful for the inverse problem of magnetopneumography.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 118 (6), 969-974, 1998

  The Institute of Electrical Engineers of Japan

Keywords

• 動径基底関数ネットワーク
• 逆問題
• 肺磁界
• 肺磁界計測

Details

• CRID: 1390001204608314368
• NII Article ID: 130006844074
• NII Article ID: 10002814327
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss1987.118.6_969
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 4492072
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4492072
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss1987/118/6/118_6_969/_pdf
• Data Source:
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  • CiNii Articles
• Abstract License Flag: Disallowed