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. ...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| Series: | Studies in Computational Intelligence,
421 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Internet
Full Text via HEAL-LinkΒΚΠ - Πατρα: ALFd
| Call Number: |
330.01 BAU |
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| Copy 1 | Available |
ΒΚΠ - Πατρα: BSC
| Call Number: |
330.01 BAU |
|---|---|
| Copy 2 | Available |
| Copy 3 | Available |