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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/112499
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dc.contributor.authorTijani, I.-
dc.contributor.authorAkmeliawati, R.-
dc.contributor.authorLegowo, A.-
dc.contributor.authorBudiyono, A.-
dc.date.issued2014-
dc.identifier.citationEngineering Applications of Artificial Intelligence, 2014; 33:99-115-
dc.identifier.issn0952-1976-
dc.identifier.issn1873-6769-
dc.identifier.urihttp://hdl.handle.net/2440/112499-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityIsmaila B. Tijani, Rini Akmeliawati, Ari Legowo, Agus Budiyono-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2014 Elsevier Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.engappai.2014.04.003-
dc.subjectUnmanned helicopter system; NARX; neural network; multiobjective differential evolution (MODE); system identification-
dc.titleNonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution-
dc.typeJournal article-
dc.identifier.doi10.1016/j.engappai.2014.04.003-
pubs.publication-statusPublished-
dc.identifier.orcidAkmeliawati, R. [0000-0003-0660-2312]-
Appears in Collections:Aurora harvest 8
Mechanical Engineering publications

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