CHF 199.00

Neural Advances in Processing Nonlinear Dynamic Signals

English · Hardback

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Description

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This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform generation, filtering, equalization, signals from arrays of sensors, and perturbations in the automatic control of industrial production processes. It also discusses the drastic changes in financial, economic, and work processes that are currently being experienced by the computational and engineering sciences community.
Addresses key aspects, such as the integration of neural algorithms and procedures for the recognition, the analysis and detection of dynamic complex structures and the implementation of systems for discovering patterns in data, the book highlights the commonalities between computational intelligence (CI) and information and communications technologies (ICT) to promote transversal skills and sophisticated processing techniques.
This book is a valuable resource for
a. The academic research community
b. The ICT market
c.  PhD students and early stage researchers
d. Companies, research institutes

e. Representatives from industry and standardization bodies

Summary

This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform generation, filtering, equalization, signals from arrays of sensors, and perturbations in the automatic control of industrial production processes. It also discusses the drastic changes in financial, economic, and work processes that are currently being experienced by the computational and engineering sciences community.
Addresses key aspects, such as the integration of neural algorithms and procedures for the recognition, the analysis and detection of dynamic complex structures and the implementation of systems for discovering patterns in data, the book highlights the commonalities between computational intelligence (CI) and information and communications technologies (ICT) to promote transversal skills and sophisticated processing techniques.
This book is a valuable resource for
a. The academic research community
b. The ICT market
c.  PhD students and early stage researchers
d. Companies, research institutes
e. Representatives from industry and standardization bodies

Product details

Assisted by Anna Esposito (Editor), Marcos Faundez-Zanuy (Editor), Francesco Carlo Morabito (Editor), Eros Pasero (Editor), Marco Faundez-Zanuy (Editor), France Carlo Morabito et al (Editor)
Publisher Springer, Berlin
 
Content Book
Product form Hardback
Publication date 01.01.2018
Subject Natural sciences, medicine, IT, technology > Technology > General, dictionaries
 
EAN 9783319950976
ISBN 978-3-31-995097-6
Pages 318
Illustrations XII, 318 p. 91 illus., 61 illus. in color.
Dimensions (packing) 16 x 24.2 x 2.4 cm
Weight (packing) 660 g
 
Series Smart Innovation, Systems and Technologies > .102
Smart Innovation, Systems and Technologies
Subjects B, Artificial Intelligence, Mathematik für Ingenieure, Kybernetik und Systemtheorie, engineering, complexity, Computational Intelligence, Maths for engineers, Cybernetics & systems theory, Applied Dynamical Systems, Computational complexity, Cybernetics and systems theory
 

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