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Neural network approach to ECT inverse problem solving for estimation of gravitational solids flow

contributor authorGarbaa, H.
contributor authorJackowska-Strumillo, L.
contributor authorGrudzien, K.
contributor authorRomanowski, A.
date accessioned2020-03-12T21:17:28Z
date available2020-03-12T21:17:28Z
date issued2014
identifier other6932992.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1043688?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleNeural network approach to ECT inverse problem solving for estimation of gravitational solids flow
typeConference Paper
contenttypeMetadata Only
identifier padid8171791
subject keywordsarchaeology
subject keywordsgeographic information systems
subject keywordsterrain mapping
subject keywordsGeographic Information Science technology
subject keywordsarchaeological maps
subject keywordsarchaeological recognition
subject keywordscontinuous maps
subject keywordseconomic variables
subject keywordselevation data
subject keywordslow representative site location datasets
subject keywordspast human activity mapping
subject keywordssocial variables
subject keywordsspatial models
subject keywordsstatistical algorithms
subject keywordsAnalytical models
subject keywordsData models
subject keywordsEducational institutions
subject keywordsIndexes
subject keywordsLakes
subject keywordsSpatial databases
subject keywordsStandards
subject keywordsArchaeological datasets
subject keywordsCART
subject keywordsmachine learning
subject keywordspredictive
identifier doi10.1109/IGARSS.2014.6946573
journal titleomputer Science and Information Systems (FedCSIS), 2014 Federated Conference on
filesize956226
citations0


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