Mendeley出力
＜図書＞
Feedforward neural network methodology
| 責任表示 | Terrence L. Fine |
|---|---|
| シリーズ | Statistics for engineering and information science |
| データ種別 | 図書 |
| 出版情報 | New York ; Tokyo : Springer , c1999 |
| 本文言語 | 英語 |
| 大きさ | xvi, 340 p. : ill. ; 25 cm |
| 概要 | This decade has seen an explosive growth in computational speed and memory and a rapid enrichment in our understanding of artificial neural networks. These two factors provide systems engineers and s...atisticians with the ability to build models of physical, economic, and information-based time series and signals. This book provides a thorough and coherent introduction to the mathematical properties of feedforward neural networks and to the intensive methodology which has enabled their highly successful application to complex problems. 続きを見る |
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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: hardcover | 理系図3F 数理独自 | FINE/20/2 | 1999 |
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023211999006531 |
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書誌詳細
| 一般注記 | Includes bibliographical references (p. [309]-327) and index |
|---|---|
| 著者標目 | *Fine, Terrence L. |
| 件 名 | LCSH:Neural networks (Computer science) |
| 分 類 | LCC:QA76.87 DC21:006.3/2 |
| 書誌ID | 1001392550 |
| ISBN | 0387987452 |
| NCID | BA42944732 |
| 巻冊次 | : hardcover ; ISBN:0387987452 |
| 登録日 | 2009.11.02 |
| 更新日 | 2009.11.02 |