Complex-valued neural networks and their learning algorithms
Recent developments in complex-valued feed-forward neural networks have found number of applications like adaptive array signal processing, medical imaging, communication engineering, etc. However, these applications demand a tighter phase approximation along with magnitude approximation, which has...
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| Format: | Thesis |
| Language: | English |
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2011
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| Online Access: | http://hdl.handle.net/10356/43534 |