Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/147363
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dc.contributor.authorKraemer, Klaus
dc.contributor.authorJ. Green, Tim
dc.contributor.authorD. Karakochuk, Crystal
dc.contributor.authorC. Whitfield, Kyly
dc.date.accessioned2022-05-03T09:53:00Z-
dc.date.available2022-05-03T09:53:00Z-
dc.date.issued2018
dc.identifier.isbn9781498756792
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/147363-
dc.language.isoeng
dc.publisherTaylor & Francis
dc.relation.isbasedon10.1201/crcoxistrdis
dc.relation.urihttps://library.oapen.org/bitstream/20.500.12657/30632/1/644634.pdf
dc.rights.uriCC BY-NC-ND (姓名標示-非商業性-禁止改作)
dc.sourceDOAB
dc.subject.classificationMedicine
dc.subject.othershort-term load forecasting
dc.subject.otherweighted k-nearest neighbor (W-K-NN) algorithm
dc.subject.othercomparative analysis
dc.subject.otherempirical mode decomposition (EMD)
dc.subject.otherparticle swarm optimization (PSO) algorithm
dc.subject.otherintrinsic mode function (IMF)
dc.subject.othersupport vector regression (SVR)
dc.subject.othershort term load forecasting
dc.subject.othercrude oil price forecasting
dc.subject.othertime series forecasting
dc.subject.otherhybrid model
dc.subject.othercomplementary ensemble empirical mode decomposition (CEEMD)
dc.subject.othersparse Bayesian learning (SBL)
dc.subject.othermulti-step wind speed prediction
dc.subject.otherEnsemble Empirical Mode Decomposition
dc.subject.otherLong Short Term Memory
dc.subject.otherGeneral Regression Neural Network
dc.subject.otherBrain Storm Optimization
dc.subject.othersubstation project cost forecasting model
dc.subject.otherfeature selection
dc.subject.otherdata inconsistency rate
dc.subject.othermodified fruit fly optimization algorithm
dc.subject.otherdeep convolutional neural network
dc.subject.othermulti-objective grey wolf optimizer
dc.subject.otherlong short-term memory
dc.subject.otherfuzzy time series
dc.subject.otherLEM2
dc.subject.othercombination forecasting
dc.subject.otherwind speed
dc.subject.otherelectrical power load
dc.subject.othercrude oil prices
dc.subject.othertime series forecasting
dc.subject.otherimproved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN)
dc.subject.otherkernel learning
dc.subject.otherkernel ridge regression
dc.subject.otherdifferential evolution (DE)
dc.subject.otherartificial intelligence techniques
dc.subject.otherenergy forecasting
dc.subject.othercondition-based maintenance
dc.subject.otherasset management
dc.subject.otherrenewable energy consumption
dc.subject.otherGaussian processes regression
dc.subject.otherstate transition algorithm
dc.subject.otherfive-year project
dc.subject.otherforecasting
dc.subject.otherMarkov-switching
dc.subject.otherMarkov-switching GARCH
dc.subject.otherenergy futures
dc.subject.othercommodities
dc.subject.otherportfolio management
dc.subject.otheractive investment
dc.subject.otherdiversification
dc.subject.otherinstitutional investors
dc.subject.otherenergy price hedging
dc.subject.othermetamodel
dc.subject.otherensemble
dc.subject.otherindividual
dc.subject.otherregression
dc.subject.otherinterpolation
dc.titleThe biology of the first 1000 days
dc.type電子教科書
dc.classification醫學類
Theme:教科書-醫學類

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