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The prediction method of soil moisture content based on multiple regression and RBF neural network

contributor authorQiao, Xu
contributor authorYang, Feng
contributor authorXu, Xianlei
date accessioned2020-03-12T22:00:26Z
date available2020-03-12T22:00:26Z
date issued2014
identifier other6970402.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1068163?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleThe prediction method of soil moisture content based on multiple regression and RBF neural network
typeConference Paper
contenttypeMetadata Only
identifier padid8203151
subject keywordsdata recording
subject keywordsn intelligent sensors
subject keywordsn power capacitors
subject keywordsn power grids
subject keywordsn scheduling
subject keywordsn vegetation
subject keywordsn CAIDI metrics
subject keywordsn O&
subject keywordsamp
subject keywordsM expenditure
subject keywordsn O&
subject keywordsamp
subject keywordsM scheduling
subject keywordsn SAIDI metrics
subject keywordsn business practices
subject keywordsn business process
subject keywordsn capacitor bank
subject keywordsn data recorders
subject keywordsn electrical grid
subject keywordsn fault indicators
subject keywordsn line patrolling
subject keywordsn smart sensors
subject keywordsn system planning
subject keywordsn targeted vegetation management
subject keywordsn utility operation
subject keywordsn Harmonic analysis
subject keywordsn Monitoring
subject keywordsn P
identifier doi10.1109/REPCon.2014.6842204
journal titleround Penetrating Radar (GPR), 2014 15th International Conference on
filesize746728
citations0


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