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Assessment of public domain forecast products for predicting anomalous RF propagation

Author:
Hanley, T.R.
,
Gehman, J.Z.
,
Giannola, R.M.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/CONFLUENCE.2014.6949254
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1039604
Keyword(s): backpropagation,computational complexity,data mining,data privacy,neural nets,search engines,Web based information resources,Web page ranking tool,Web search process,back-propagation neural network,intelligent Web mining,personalized Web search,privacy concerns,relevant information extraction,search engine domain,space complexity,time complexity,Business,Neural networks,Optimization,Search engines,Web mining,Web pages,Back Propagation Neural Networks,Intelligent Mining,W
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    Assessment of public domain forecast products for predicting anomalous RF propagation

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contributor authorHanley, T.R.
contributor authorGehman, J.Z.
contributor authorGiannola, R.M.
date accessioned2020-03-12T21:10:32Z
date available2020-03-12T21:10:32Z
date issued2014
identifier other6928038.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1039604?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleAssessment of public domain forecast products for predicting anomalous RF propagation
typeConference Paper
contenttypeMetadata Only
identifier padid8166466
subject keywordsbackpropagation
subject keywordscomputational complexity
subject keywordsdata mining
subject keywordsdata privacy
subject keywordsneural nets
subject keywordssearch engines
subject keywordsWeb based information resources
subject keywordsWeb page ranking tool
subject keywordsWeb search process
subject keywordsback-propagation neural network
subject keywordsintelligent Web mining
subject keywordspersonalized Web search
subject keywordsprivacy concerns
subject keywordsrelevant information extraction
subject keywordssearch engine domain
subject keywordsspace complexity
subject keywordstime complexity
subject keywordsBusiness
subject keywordsNeural networks
subject keywordsOptimization
subject keywordsSearch engines
subject keywordsWeb mining
subject keywordsWeb pages
subject keywordsBack Propagation Neural Networks
subject keywordsIntelligent Mining
subject keywordsW
identifier doi10.1109/CONFLUENCE.2014.6949254
journal titleadio Science Meeting (USNC-URSI NRSM), 2014 United States National Committee of URSI National
filesize644162
citations1
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