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Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting

contributor authorRen, Y.
contributor authorQiu, X.
contributor authorSuganthan, P.N.
date accessioned2020-03-12T22:35:05Z
date available2020-03-12T22:35:05Z
date issued2014
identifier other7015741.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1087853?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleEmpirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting
typeConference Paper
contenttypeMetadata Only
identifier padid8225760
subject keywordsLyapunov methods
subject keywordsn asymptotic stability
subject keywordsn control system synthesis
subject keywordsn convex programming
subject keywordsn delays
subject keywordsn distributed control
subject keywordsn fuzzy control
subject keywordsn fuzzy systems
subject keywordsn linear matrix inequalities
subject keywordsn networked control systems
subject keywordsn nonlinear control systems
subject keywordsn nonlinear programming
subject keywordsn time-varying systems
subject keywordsn LMI constraints
subject keywordsn controller design method
subject keywordsn cross-product integral terms
subject keywordsn deterministic asymptotical stability
subject keywordsn fuzzy-model-based stabilization
subject keywordsn improved Lya
identifier doi10.1109/ChiCC.2014.6895926
journal titleomputational Intelligence in Ensemble Learning (CIEL), 2014 IEEE Symposium on
filesize650725
citations0


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