Neural Advances in Processing Nonlinear Dynamic Signals / Smart Innovation, Systems and Technologies Bd.102 (PDF)
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...
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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
- 2018, 1st ed. 2019, 318 Seiten, Englisch
- Herausgegeben: Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319950983
- ISBN-13: 9783319950983
- Erscheinungsdatum: 21.07.2018
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 9.23 MB
- Ohne Kopierschutz
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