Supervised Learning with Complex-valued Neural Networks

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. ...

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Bibliographic Details
Main Authors: Suresh, Sundaram (Author), Sundararajan, Narasimhan (Author), Savitha, Ramasamy (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Series:Studies in Computational Intelligence, 421
Subjects:
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ΒΚΠ - Πατρα: ALFd

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ΒΚΠ - Πατρα: BSC

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Call Number: 330.01 BAU
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