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Improving the genetic-algorithm-optimized wavelet neural network for stock market prediction

date accessioned2020-03-12T23:24:37Z
date available2020-03-12T23:24:37Z
date issued2014
identifier other6889969.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1110501?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleImproving the genetic-algorithm-optimized wavelet neural network for stock market prediction
typeConference Paper
contenttypeMetadata Only
identifier padid8279218
subject keywordsinduction motor drives
subject keywordsmachine control
subject keywordspredictive control
subject keywordstorque control
subject keywordsvectors
subject keywordsMPTC
subject keywordsactive vector
subject keywordsequivalent reference vector
subject keywordsflux error minimization
subject keywordsflux magnitude references
subject keywordshigh torque ripple
subject keywordsimproved two-vectors-based model predictive torque control
subject keywordsinduction motor drives
subject keywordsnonzero vectors
subject keywordsstator flux
subject keywordssteady state performance
subject keywordstorque magnitude references
subject keywordsvoltage vectors
subject keywordszero vector
subject keywordsCost function
subject keywordsRotors
subject keywordsStators
subject keywordsSwitches
subject keywordsTorque
subject keywordsVectors
subject keywordsVoltage control
identifier doi10.1109/ICEMS.2014.7013969
journal titleeural Networks (IJCNN), 2014 International Joint Conference on
filesize3417942
citations0
contributor rawauthorYu Fang , Fataliyev, K. , Lipo Wang , Xiuju Fu , Yaoli Wang


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