contributor author | Hanley, T.R. | |
contributor author | Gehman, J.Z. | |
contributor author | Giannola, R.M. | |
date accessioned | 2020-03-12T21:10:32Z | |
date available | 2020-03-12T21:10:32Z | |
date issued | 2014 | |
identifier other | 6928038.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1039604?show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | Assessment of public domain forecast products for predicting anomalous RF propagation | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8166466 | |
subject keywords | backpropagation | |
subject keywords | computational complexity | |
subject keywords | data mining | |
subject keywords | data privacy | |
subject keywords | neural nets | |
subject keywords | search engines | |
subject keywords | Web based information resources | |
subject keywords | Web page ranking tool | |
subject keywords | Web search process | |
subject keywords | back-propagation neural network | |
subject keywords | intelligent Web mining | |
subject keywords | personalized Web search | |
subject keywords | privacy concerns | |
subject keywords | relevant information extraction | |
subject keywords | search engine domain | |
subject keywords | space complexity | |
subject keywords | time complexity | |
subject keywords | Business | |
subject keywords | Neural networks | |
subject keywords | Optimization | |
subject keywords | Search engines | |
subject keywords | Web mining | |
subject keywords | Web pages | |
subject keywords | Back Propagation Neural Networks | |
subject keywords | Intelligent Mining | |
subject keywords | W | |
identifier doi | 10.1109/CONFLUENCE.2014.6949254 | |
journal title | adio Science Meeting (USNC-URSI NRSM), 2014 United States National Committee of URSI National | |
filesize | 644162 | |
citations | 1 | |