欠測データ集合を扱う...

欠測データ集合を扱う神経回路網法CQSAR: Compensation Quantitative Structure-Activity Relationshipsの開発

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欠測データ集合を扱う神経回路網法CQSAR: Compensation Quantitative Structure-Activity Relationshipsの開発

Call No. (NDL)
Z74-C857
Bibliographic ID of National Diet Library
9316097
Material type
記事
Author
青山 智夫ほか
Publisher
東京 : 日本コンピュータ化学会
Publication date
2007-12
Material Format
Digital
Journal name
Journal of computer chemistry, Japan 6(5) 2007.12
Publication Page
p.263~274
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Detailed bibliographic record

Summary, etc.:

階層型神経回路網は因果関係が不明な現象の多変量解析に用いられる.主な用途は薬理活性解析,環境問題解析などである.しかし,それらには欠測問題が存在する.多変量解析を行う場合、データの欠測は単に欠測を含む説明変数の削除による説明変数の減少に止まらず,複数の説明変数の中の一変数の部分的欠測がそのデータの組...

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Digital

Material Type
記事
Author/Editor
青山 智夫
神部 順子
長嶋 雲兵 他
Alternative Title
Development of neural network for incomplete data set, CQSAR: compensation quantitative structure-activity relationships
Periodical title
Journal of computer chemistry, Japan
No. or year of volume/issue
6(5) 2007.12
Volume
6
Issue
5
Pages
263~274