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Supervised learning with complex-valued neural networks

Verfasser/in: Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Savitha
Verlag: Berlin ; New York : Springer, ©2013.
Serien: Studies in computational intelligence, 421.
Ausgabe/Format   E-Book : Dokument : EnglischAlle Ausgaben und Formate anzeigen
Datenbank:WorldCat
Zusammenfassung:
Recent advancements in the field of telecommunications, medical imaging and signal processing deal with signals that are inherently time varying, nonlinear and complex-valued. The time varying, nonlinear characteristics of these signals can be effectively analyzed using artificial neural networks. Furthermore, to efficiently preserve the physical characteristics of these complex-valued signals, it is important to  Weiterlesen…
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Gattung/Form: Electronic books
Medientyp: Dokument, Internetquelle
Dokumenttyp: Internet-Ressource, Computer-Datei
Alle Autoren: Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Savitha
ISBN: 9783642294914 364229491X 3642294901 9783642294907
OCLC-Nummer: 805398598
Beschreibung: 1 online resource.
Inhalt: Introduction --
Fully Complex-valued Multi Layer Perceptron Networks --
A Fully Complex-valued Radial Basis Function Network and Its Learning Algorithm --
Fully Complex-valued Relaxation Networks --
Performance Study on Complex-valued Function Approximation Problems --
Circular Complex-valued Extreme Learning Machine Classifier --
Performance Study on Real-valued Classification Problems --
Complex-valued Self-regulatory Resource Allocation Network (CSRAN).
Serientitel: Studies in computational intelligence, 421.
Verfasserangabe: Sundaram Suresh, Narasimhan Sundararajan, and Ramasamy Savitha.
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Abstract:

A new generation of neural networks is needed in telecommunications, medical imaging and signal processing as signals become more complex and nonlinear. This survey of the latest complex-valued  Weiterlesen…

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