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Supervised learning with complex-valued neural networks

Author: Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Savitha
Publisher: Berlin ; New York : Springer, ©2013.
Series: Studies in computational intelligence, 421.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Savitha
ISBN: 9783642294914 364229491X 3642294901 9783642294907
OCLC Number: 805398598
Description: 1 online resource.
Contents: 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).
Series Title: Studies in computational intelligence, 421.
Responsibility: 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  Read more...

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