Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/18171
DC FieldValueLanguage
dc.contributor.authorKalogirou, Soteris A.-
dc.contributor.authorNeocleous, Costas-
dc.contributor.authorPashiardis, Stelios-
dc.contributor.authorSchizas, Christos N.-
dc.date.accessioned2020-03-27T08:42:09Z-
dc.date.available2020-03-27T08:42:09Z-
dc.date.issued1999-06-
dc.identifier.citationEuropean Symposium on Intelligent Techniques, 1999, 3 - 4 June, Crete, Greeceen_US
dc.identifier.urihttps://hdl.handle.net/20.500.14279/18171-
dc.description.abstractA multilayered artificial neural network has been used for predicting the mean monthly wind speed in regions of Cyprus where data are not available. Data for the period 1986-1996 have been used to train a neural network, whereas data for the year 1997 were used for validation. Both learning and prediction were performed with adequate accuracy. Two network architectures of the similar type have been tried. One with eleven neurons in the input layer and one with five. The second one proved to be more accurate in predicting the mean wind speed. The maximum percentage difference for the validation set was confined to less than 1.8% on an annual basis, which is considered by the domain expert as adequate.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.subjectWind speed predictionen_US
dc.subjectArtificial Neural Networksen_US
dc.titleWind Speed Prediction Using Artificial Neural Networksen_US
dc.typeConference Papersen_US
dc.collaborationHigher Technical Institute Cyprusen_US
dc.collaborationMeteorological Service of Cyprusen_US
dc.collaborationUniversity of Cyprusen_US
dc.subject.categoryEarth and Related Environmental Sciencesen_US
dc.countryCyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceEuropean Symposium on Intelligent Techniquesen_US
cut.common.academicyear1998-1999en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.languageiso639-1en-
item.fulltextWith Fulltext-
crisitem.author.deptDepartment of Mechanical Engineering and Materials Science and Engineering-
crisitem.author.deptDepartment of Mechanical Engineering and Materials Science and Engineering-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-4497-0602-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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