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Neural Advances in Processing Nonlinear Dynamic Signals

E-BookPDF1 - PDF WatermarkE-Book
318 Seiten
Englisch
Springer International Publishingerschienen am21.07.20181st ed. 2019
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 bodiesmehr
Verfügbare Formate
BuchGebunden
EUR171,19
E-BookPDF1 - PDF WatermarkE-Book
EUR160,49

Produkt

KlappentextThis 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
Details
Weitere ISBN/GTIN9783319950983
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2018
Erscheinungsdatum21.07.2018
Auflage1st ed. 2019
ReiheSmart Innovation, Systems and Technologies
Reihen-Nr.102
Seiten318 Seiten
SpracheEnglisch
IllustrationenXII, 318 p. 91 illus., 61 illus. in color.
Artikel-Nr.3679233
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
Processing Nonlinearities.- Temporal Artifacts from Edge Accumulation in Social Interaction.- Data Mining by Evolving Agents for Clusters Discovery and Metric Learning.- Error Resilient Neural Networks on Low-Dimensional Manifolds.- On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing.- Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines.- Convolutional Neural Networks for the Identification of Filaments from Fast Visual Imaging Cameras in Tokamak Reactors.- Appraisal of Enhanced Surrogate Models for Substrate Integrate Waveguide Devices Characterization.- An Improved PSO for Flexible Parameters Identification of Lithium Cells Equivalent Circuit Models.- New Challenges in Pension Industry: Proposals of Personal Pension Products.- A Method Based on OWA Operator for Scientific Research Evaluation.- A Cluster Analysis Approach for Rule Base Reduction.mehr

Autor