A novel site adaptive propagation model

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/243

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DC Field	Value	Language
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

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