Neural networks : methodology and applications
Neural networks represent a powerful data processing technique that has reached maturity. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. TOC:Neural Networks: An Overview.- Modeling with Neural Networks: Principles and Model Design Methodology.- Modeling Methodology: Dimension Reduction and Re-sampling 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.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
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9783540229803
3540229809
- Dimensions
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24 cm
- Extent
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XVIII, 497 S.
- Language
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Englisch
- Notes
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graph. Darst.
Literaturangaben
- Classification
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Informatik
- Keyword
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Neuronales Netz
- Event
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Veröffentlichung
- (where)
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Berlin, Heidelberg, New York
- (who)
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Springer
- (when)
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2005
- Creator
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Dreyfus, Gérard
- Contributor
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Dreyfus, Gérard
- Table of contents
- Rights
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Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.03.2025, 11:42 AM CET
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dreyfus, Gérard
- Springer
Time of origin
- 2005
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