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Supervised learning with complex-valued neural networks

Auteur : Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Savitha
Éditeur : Berlin ; New York : Springer, ©2013.
Collection : Studies in computational intelligence, 421.
Édition/format :   Livre électronique : Document : AnglaisVoir toutes les éditions et les formats
Base de données :WorldCat
Résumé :
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  Lire la suite...
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Genre/forme : Electronic books
Type d’ouvrage : Document, Ressource Internet
Format : Ressource Internet, Fichier informatique
Tous les auteurs / collaborateurs : Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Savitha
ISBN : 9783642294914 364229491X 3642294901 9783642294907
Numéro OCLC : 805398598
Description : 1 online resource.
Contenu : 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).
Titre de collection : Studies in computational intelligence, 421.
Responsabilité : Sundaram Suresh, Narasimhan Sundararajan, and Ramasamy Savitha.
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Résumé :

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  Lire la suite...

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Données liées


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