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Neural Networks

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Neural Networks, 9783540229803 (3540229809), Springer, 2005

Neural 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 and edited to present a coherent and comprehensive, yet not redundant, practically oriented introduction.

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Operating Systems: Concurrent and Distributed Software Design
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Managing and Using MySQL (2nd Edition)
Managing and Using MySQL (2nd Edition)

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World Wide Web (or just Web). For this reason, the importance of the information
retrieval (IR) and related topics such as text mining, is increasing every
day [Baeza-Yates & Ribeiro-Neto, 1999]. However, doing experiments in large
text collections is
...

C++ from the Ground Up, Third Edition
C++ from the Ground Up, Third Edition

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Internet Television
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Adaptive Blind Signal and Image Processing
With solid theoretical foundations and numerous potential applications, Blind Signal Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume unifies and extends the theories of adaptive blind signal and image processing and provides practical and efficient algorithms for blind source separation, Independent,...
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