Neural Advances in Processing Nonlinear Dynamic Signals
Language: English
Published by Springer International Publishing, 2018
- Hardcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
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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..
Seller Inventory # 230746402
- Title
- Neural Advances in Processing Nonlinear Dynamic Signals
- Author
- Esposito, Anna|Faundez-Zanuy, Marcos|Morabito, Francesco Carlo|Pasero, Eros
- Publisher
- Springer International Publishing
- Publication year
- 2018
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3319950975
- ISBN 13
- 9783319950976
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
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
"Synopsis" may belong to another edition of this title.
From the Back Cover
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
"About the title" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 26 to 60 business days | 26 to 60 business days |
|---|---|---|
| First item | £ 42.10 | £ 42.10 |
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