Neural Advances in Processing Nonlinear Dynamic Signals: 102 (Smart Innovation, Systems and Technologies) - Tapa blanda
Sinopsis
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
"Sinopsis" puede pertenecer a otra edición de este libro.
De la contraportada
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
"Sobre este título" puede pertenecer a otra edición de este libro.
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Neural Advances in Processing Nonlinear Dynamic Signals (eng)
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Neural Advances in Processing Nonlinear Dynamic Signals (Smart Innovation, Systems and Technologies, 102)
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Neural Advances in Processing Nonlinear Dynamic Signals
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Springer International Publishing, 2019
ISBN 10: 303006977X
ISBN 13: 9783030069773
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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,. Nº de ref. del artículo: 448670279
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Neural Advances in Processing Nonlinear Dynamic Signals
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Springer International Publishing Feb 2019, 2019
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ISBN 13: 9783030069773
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 fora. The academic research communityb. The ICT marketc. PhD students and early stage researchersd. Companies, research institutese. Representatives from industry and standardization bodies 332 pp. Englisch. Nº de ref. del artículo: 9783030069773
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Neural Advances in Processing Nonlinear Dynamic Signals: 102 (Smart Innovation, Systems and Technologies)
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Taschenbuch. Condición: Neu. Neural Advances in Processing Nonlinear Dynamic Signals | Anna Esposito (u. a.) | Taschenbuch | Smart Innovation, Systems and Technologies | xii | Englisch | 2019 | Springer | EAN 9783030069773 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 116924309
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Neural Advances in Processing Nonlinear Dynamic Signals
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Springer, Springer Feb 2019, 2019
ISBN 10: 303006977X
ISBN 13: 9783030069773
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 fora. The academic research communityb. The ICT marketc. PhD students and early stage researchersd. Companies, research institutese. Representatives from industry and standardization bodiesSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 332 pp. Englisch. Nº de ref. del artículo: 9783030069773
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