衛生データ解析のためのニューラルネットワークの学習理論

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Abstract Contents 1 Introduction 2 Fundamentals of Remote Sensing 3 Learning Based on Cone-Like Domains of Recognition(LCDR) 4 Soil Moisture Estimation by LCDR Method 5 Learning Based on Domains of Recognition(LDR) 6 Land Cover Classification by LDR Method 7 General Conclusions Bibliography

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Material Type: 博士論文
Title: 衛生データ解析のためのニューラルネットワークの学習理論
Author/Editor: 大久保, 彰人
Author Heading: 大久保, 彰人オオクボ, アキト
Publication Date: 2000-03-27
Publication Date (W3CDTF): 2000-03-27
Alternative Title: Learning Theory of Neural Networks for Satellite Data Analysis
Degree grantor/type: 九州大学
Date Granted: 2000-03-27
Dissertation Number: 甲第5205号
Degree Type: 博士（理学）
DOCTOR OF SCIENCE
Text Language Code: eng
Target Audience: 一般
Note (General): 主1-参1
システム情報
DOI: 10.11501/3166849
Access Restrictions: インターネット公開
Related Material (URI): URI
https://dl.ndl.go.jp/info:ndljp/pid/3166849
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 九州大学 : 九州大学学術情報リポジトリ