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Produktbild: Neural Networks

Neural Networks Methodology and Applications

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.10.2010

Abbildungen

XVIII, 498 p.

Verlag

Springer Berlin

Seitenzahl

498

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

774 g

Auflage

Softcover reprint of hardcover 1st ed. 2005

Originaltitel

Réseaux de neurones - Méthodologies et application

Sprache

Englisch

ISBN

978-3-642-06187-5

Beschreibung

Rezension

From the reviews:



"Artificial neural networks (ANN) generated fascinating dreams of solving problems in complex systems … . The present book, contributed to by several authors, provides a clear description with statistical analysis for ANN, together with examples to show the power and advantages of ANN. Comparisons of ANN to traditional statistical methods, such as linear regressions, the Bayes statistics, etc. are also dealt with. This will greatly help readers to understand the principles and to use ANN correctly to develop significant applications." (Min Ping Qian, Mathematical Reviews, Issue 2007 a)


"We are nowadays looking at ANNs as a machine learning tool offering a wide range of possibilities in the modeling and ordering of data, in signal processing, adaptive control, and many other fields. The book offers a systematic, thorough and understandable introduction to this field. … the book is a useful introduction for engineers and researchers in the field of modeling, data processing, control, machine learning, optimization, and related fields." (Andreas Schierwagen, Zentralblatt MATH, Vol. 1119 (21), 2007)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.10.2010

Abbildungen

XVIII, 498 p.

Verlag

Springer Berlin

Seitenzahl

498

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

774 g

Auflage

Softcover reprint of hardcover 1st ed. 2005

Originaltitel

Réseaux de neurones - Méthodologies et application

Sprache

Englisch

ISBN

978-3-642-06187-5

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Neural Networks
  • Neural Networks: An Overview.- Modeling with Neural Networks: Principles and Model Design Methodology.- Modeling Metholodgy: Dimension Reduction and Resampling Methods.- Neural Identification of Controlled Dynamical Systems and Recurrent Networks.- Closed-Loop Control Learning.- Discrimination.- Self-Organizing Maps and Unsupervised Classification.- Neural Networks without Training for Optimization.