Publication:
IT nets for dimension reduction of dehumidifying coils data

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dc.contributor.authorsTanyolu, T
dc.contributor.editorDincer, I
dc.contributor.editorAyhan, T
dc.date.accessioned2022-03-12T15:58:16Z
dc.date.accessioned2026-01-11T19:06:10Z
dc.date.available2022-03-12T15:58:16Z
dc.date.issued1999
dc.description.abstractDimension reduction for the data set by using input trained feedforward neural nets is presented in this study for dehumidifying coils. A similar method to nonlinear extension of principal component analysis, input trained neural networks are used to extract useful information in data set obtained experimentally for dehumidifying coils. The data set is represented by a few latent variables after training of IT nets.
dc.identifier.doidoiWOS:000080610100103
dc.identifier.isbn1-56700-127-0
dc.identifier.urihttps://hdl.handle.net/11424/224008
dc.identifier.wosWOS:000080610100103
dc.language.isoeng
dc.publisherBEGELL HOUSE, INC
dc.relation.ispartofENERGY AND THE ENVIRONMENT
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectPRINCIPAL COMPONENT ANALYSIS
dc.titleIT nets for dimension reduction of dehumidifying coils data
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage520
oaire.citation.startPage517
oaire.citation.titleENERGY AND THE ENVIRONMENT

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