Neural Advances in Processing Nonlinear Dynamic Signals

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Science & Nature, Technology
Cover of the book Neural Advances in Processing Nonlinear Dynamic Signals by , Springer International Publishing
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Author: ISBN: 9783319950983
Publisher: Springer International Publishing Publication: July 21, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319950983
Publisher: Springer International Publishing
Publication: July 21, 2018
Imprint: Springer
Language: English

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

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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

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