TitleNeural Networks : Methodology and Applications
Author(s)Dreyfus, G??rard
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2005.
DescriptionXVIII, 498 p : online resource
Abstract NoteNeural networks represent a powerful data processing technique that has reached maturity and broad application. 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. The chapters have been written by experts ands seemlessly edited to present a coherent and comprehensive, yet not redundant, practically-oriented introduction
ISBN,Price9783540288473
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. Communications Engineering, Networks 3. COMPLEX SYSTEMS 4. DYNAMICAL SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. ELECTRICAL ENGINEERING 8. ENGINEERING 9. Engineering, general 10. Information and Communication, Circuits 11. INFORMATION THEORY 12. MATHEMATICAL PHYSICS 13. STATISTICAL PHYSICS 14. Theoretical, Mathematical and Computational Physics
Item TypeeBook
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I07735     On Shelf