Effect of Regularization in Neuro-fuzzy Computerized Tomography
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- ICHIHASHI Hidetomo
- College of Engineering, University of Osaka Prefecture
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- MIYOSHI Tetsuya
- College of Engineering, University of Osaka Prefecture
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- NAGASAKA Kazunori
- College of Engineering, University of Osaka Prefecture
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- SHIBATA Ayako
- グンゼ株式会社
Bibliographic Information
- Other Title
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- ニューロ・ファジィ断層撮影法における正則化の効果
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Abstract
A method of computerized tomography using the neuro-fuzzy model was proposed for the reconstruction of smooth distribution of some material parameters. Unfortunately, detailed pictures of the spatial distribution is hard to reconstruct from very small number of projection data. In this paper we discuss the effectiveness of regularization conditions in the neuro-fuzzy computerized tomography.
Journal
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- Journal of Japan Society for Fuzzy Theory and Systems
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Journal of Japan Society for Fuzzy Theory and Systems 7 (4), 895-900, 1995
Japan Society for Fuzzy Theory and Intelligent Informatics
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Keywords
Details 詳細情報について
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- CRID
- 1390282679313840128
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- NII Article ID
- 110002940587
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- NII Book ID
- AN10231506
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- ISSN
- 24329932
- 0915647X
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed