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A hybrid neuro-genetic approach for STLF: A comparative analysis of model parameter variations

date accessioned2020-03-12T19:45:12Z
date available2020-03-12T19:45:12Z
date issued2014
identifier other6814485.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/988751?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA hybrid neuro-genetic approach for STLF: A comparative analysis of model parameter variations
typeConference Paper
contenttypeMetadata Only
identifier padid8104935
subject keywordsAccuracy
subject keywordsGlobal Positioning System
subject keywordsMarine vehicles
subject keywordsMobile nodes
subject keywordsModems
subject keywordsOFDM
subject keywordsUnderwater acoustic sensor network
subject keywordsacoustic OFDM modem
subject keywordsone-way travel time
subject keywordsunderwater localization
identifier doi10.1109/OCEANS-TAIPEI.2014.6964492
journal titleower Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International
filesize565259
citations0
contributor rawauthorul Islam, B. , Baharudin, Z. , Nallagownden, P. , Raza, M.Q.


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