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http://hdl.handle.net/2080/243
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DC Field | Value | Language |
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dc.contributor.author | Panda, G | - |
dc.contributor.author | Mishra, R K | - |
dc.contributor.author | Palai, S S | - |
dc.date.accessioned | 2006-02-24T05:09:20Z | - |
dc.date.available | 2006-02-24T05:09:20Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | Antennas and Wireless Propagation Letters, Vol 4, P 447-448 | en |
dc.identifier.uri | http://hdl.handle.net/2080/243 | - |
dc.description | Copyright for this article belongs to IEEE DOI:10.1109/LAWP.2005.860213 | en |
dc.description.abstract | A site adaptive knowledge guided neural network (KGNN) propagation model, using Hata model as knowledge base (KB) is presented. It adapts to measured data with rapid convergence. | en |
dc.format.extent | 84838 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | IEEE | en |
dc.subject | radiowave propagation | en |
dc.subject | neural nets | en |
dc.title | A novel site adaptive propagation model | en |
dc.type | Article | en |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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panda-ant-2005.pdf | 82.85 kB | Adobe PDF | View/Open |
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