dc.creatorSalmeron J.L.
dc.creatorFroelich W.
dc.date.accessioned2020-09-02T22:27:42Z
dc.date.accessioned2022-11-08T20:26:59Z
dc.date.available2020-09-02T22:27:42Z
dc.date.available2022-11-08T20:26:59Z
dc.date.created2020-09-02T22:27:42Z
dc.date.issued2016
dc.identifier105, , 29-37
dc.identifier09507051
dc.identifierhttps://hdl.handle.net/20.500.12728/6165
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5146276
dc.languageen
dc.publisherElsevier B.V.
dc.subjectForecasting time series
dc.subjectFuzzy cognitive maps
dc.subjectMachine learning
dc.subjectArtificial intelligence
dc.subjectCognitive systems
dc.subjectEvolutionary algorithms
dc.subjectFuzzy rules
dc.subjectFuzzy systems
dc.subjectLearning systems
dc.subjectOptimization
dc.subjectParticle swarm optimization (PSO)
dc.subjectSimulated annealing
dc.subjectTime series
dc.subjectArtificial bee colonies
dc.subjectComparative experiments
dc.subjectForecasting time series
dc.subjectFuzzy cognitive map
dc.subjectFuzzy cognitive maps (FCMs)
dc.subjectPopulation-based algorithm
dc.subjectTime series forecasting
dc.subjectTransformation functions
dc.subjectForecasting
dc.titleDynamic optimization of fuzzy cognitive maps for time series forecasting
dc.typeArticle


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