Non-Fiction Books:

Neural Advances in Processing Nonlinear Dynamic Signals

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Paperback / softback

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Neural Advances in Processing Nonlinear Dynamic Signals
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Description

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
Release date Australia
February 14th, 2019
Contributors
Edited by Anna Esposito Edited by Eros Pasero Edited by Francesco Carlo Morabito Edited by Marcos Faundez-Zanuy
Pages
318
Edition
Softcover reprint of the original 1st ed. 2019
Illustrations
61 Illustrations, color; 30 Illustrations, black and white; XII, 318 p. 91 illus., 61 illus. in color.
Country of Publication
Switzerland
Imprint
Springer Nature Switzerland AG
ISBN-13
9783030069773
Product ID
31033859

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