<図書>
Self-organizing maps
責任表示 | Teuvo Kohonen |
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シリーズ |
Springer series in information sciences ; 30
Physics and astronomy online library |
データ種別 | 図書 |
版 | 3rd ed |
出版情報 | Berlin ; New York : Springer , c2001 |
本文言語 | 英語 |
大きさ | xx, 501 p. : ill. ; 24 cm |
概要 | The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. About 4000 research articles on it have appeared in th... open literature, and many industrial projects use the SOM as a tool for solving hard real world problems. Many fields of science have adopted the SOM as a standard analytical tool: statistics, signal processing, control theory, financial analyses, experimental physics, chemistry and medicine. This new edition includes a survey of over 2000 contemporary studies to cover the newest results. Case examples are provided with detailed formulae, illustrations, and tables. Further, a new chapter on software tools for SOM has been included whilst other chapters have been extended and reorganised. 続きを見る |
電子版へのリンク | https://hdl.handle.net/2324/7377281 |
所蔵情報
状態 | 巻次 | 所蔵場所 | 請求記号 | 刷年 | 文庫名称 | 資料番号 | コメント | 予約・取寄 | 複写申込 | 自動書庫 |
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理系図1F 開架 | 007.1/Ko 27 | 2001 |
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031212006504765 |
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理系図3F 数理独自 | KOHO/5/1 | 2001 |
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023212003000254 |
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書誌詳細
一般注記 | Includes bibliographical references (p. [403]-486) and index |
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著者標目 | *Kohonen, Teuvo, 1934- |
件 名 | LCSH:Neural networks (Computer science) LCSH:Self-organizing maps |
分 類 | LCC:QA76.87 DC21:006.3/2 |
書誌ID | 1001181927 |
ISBN | 3540679219 |
NCID | BA49661849 |
巻冊次 | ISBN:3540679219 |
登録日 | 2009.09.18 |
更新日 | 2017.02.18 |