Overview
- Presents neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform generations, filtering, equalization, signals from arrays of sensors, and perturbation in the automatic control of industrial production processes
- Proposes approaches to measure and highlight the importance of the use of intelligent tools in the investigation of economic/financial and industrial processes
- Covers different scientific areas in computational intelligence and related techniques in financial, industrial, and information and communications technology (ICT) engineering
- Includes contributions from leading experts
Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 102)
Included in the following conference series:
Conference proceedings info: WIRN 2017 2017.
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Table of contents (28 chapters)
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Front Matter
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Introduction
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Front Matter
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Processing Nonlinearities
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Front Matter
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Computational Intelligence and Related Techniques in Industrial and ICT Engineering
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Front Matter
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Keywords
About this book
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
Editors and Affiliations
Bibliographic Information
Book Title: Neural Advances in Processing Nonlinear Dynamic Signals
Editors: Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero
Series Title: Smart Innovation, Systems and Technologies
DOI: https://doi.org/10.1007/978-3-319-95098-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Hardcover ISBN: 978-3-319-95097-6Published: 02 August 2018
Softcover ISBN: 978-3-030-06977-3Published: 14 February 2019
eBook ISBN: 978-3-319-95098-3Published: 21 July 2018
Series ISSN: 2190-3018
Series E-ISSN: 2190-3026
Edition Number: 1
Number of Pages: XII, 318
Number of Illustrations: 30 b/w illustrations, 61 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Complexity