Téléchargez le livre : Neural Advances in Processing Nonlinear Dynamic Signals

Neural Advances in Processing Nonlinear Dynamic Signals

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Éditeur :

Springer


Collection :

Smart Innovation, Systems and Technologies

Paru le : 2018-07-21

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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
Pages
318 pages
Collection
Smart Innovation, Systems and Technologies
Parution
2018-07-21
Marque
Springer
EAN papier
9783319950976
EAN PDF
9783319950983
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
9677 Ko
Prix
158,24 €
EAN EPUB
9783319950983
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
9892 Ko
Prix
158,24 €

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