Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis - Studies in Computational Intelligence - Marcin Mrugalski - 書籍 - Springer International Publishing AG - 9783319015460 - 2013年8月19日
カバー画像とタイトルが一致しない場合、正しいのはタイトルです

Marcin Mrugalski
Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis - Studies in Computational Intelligence 2014 edition

価格
¥ 17.108
税抜

遠隔倉庫からの取り寄せ

発送予定日 年9月22日 - 年10月2日
Marcin Mrugalski の新しいリリースのお知らせを受け取る

お客様の声：

EU消費者保護法に基づく14日間の返品ポリシー
Trustpilotで高評価
iMusicのウィッシュリストに追加

まだ評価がありません

他の形態でも入手可能：

The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems.

A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered.

All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.

203 pages, 125 black & white illustrations, biography

メディア 書籍     Hardcover Book   (ハードカバー付きの本)
リリース済み 2013年8月19日
ISBN13 9783319015460
出版社 Springer International Publishing AG
ページ数 182
寸法 155 × 235 × 12 mm   ·   467 g
言語 英語  

同じ出版社からのその他の記事

Marcin Mrugalskiのすべてを見る