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Supervised learning with complex-valued neural networks

Autor: Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Savitha
Editorial: Berlin ; New York : Springer, ©2013.
Serie: Studies in computational intelligence, 421.
Edición/Formato:   Libro-e : Documento : Inglés (eng)Ver todas las ediciones y todos los formatos
Base de datos:WorldCat
Resumen:
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  Leer más
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Detalles

Género/Forma: Electronic books
Tipo de material: Documento, Recurso en Internet
Tipo de documento: Recurso en Internet, Archivo de computadora
Todos autores / colaboradores: Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Savitha
ISBN: 9783642294914 364229491X 3642294901 9783642294907
Número OCLC: 805398598
Descripción: 1 online resource.
Contenido: 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).
Título de la serie: Studies in computational intelligence, 421.
Responsabilidad: Sundaram Suresh, Narasimhan Sundararajan, and Ramasamy Savitha.

Resumen:

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  Leer más

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