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Dynamic aperiodic neural network for time series prediction

dc.contributor.authorChiu-Che, Tseng
dc.date.accessioned2015-11-03T11:38:40Z
dc.date.available2015-11-03T11:38:40Z
dc.date.issued2007
dc.description.abstractThere are many things that humans find easy to do that computers are currently unable to do. Tasks such as visual pattern manipulating objects by touch, and navigating in a complex world are easy for humans. Yet, despite decades of research, we have no viable algorithms for performing these and other cognitive functions on a computer. In this study, we used a bio-inspired neural network called a KA­ set neural network to perform a time series predictive task. The results from our experiments showed that the predictive accuracy with this method was better in most markets than results obtained using a random walk method.pt_PT
dc.identifier.citationChiu-Che, Tseng (2007). "Dynamic aperiodic neural network for time series prediction". Portuguese Journal of Management Studies, XII(2):99-114pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/10013
dc.language.isoengpt_PT
dc.publisherInstituto Superior de Economia e Gestãopt_PT
dc.subjectKset neural networkpt_PT
dc.subjectTime seriespt_PT
dc.subjectPredictionpt_PT
dc.titleDynamic aperiodic neural network for time series predictionpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboapt_PT
oaire.citation.endPage114pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage99pt_PT
oaire.citation.titlePortuguese Journal of Management Studiespt_PT
oaire.citation.volumeXIIpt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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