Publication:
Use of genetic algorithm to design optimal neural network structure

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dc.contributor.buuauthorÖztürk, Nursel
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentEndüstri Mühendisliği Bölümü
dc.contributor.researcheridAAG-9336-2021
dc.contributor.scopusid7005688805
dc.date.accessioned2022-04-21T05:49:35Z
dc.date.available2022-04-21T05:49:35Z
dc.date.issued2003
dc.description.abstractIn this research, neural network (NN) and genetic algorithm (GA) are used together to design optimal NN structure. The proposed approach combines the characteristics of GA and NN to reduce the computational complexity of artificial intelligence applications in design and manufacturing. Genetic input selection approach is introduced to obtain optimal NN topology. Experimental results are given to evaluate the performance of the proposed system.
dc.identifier.citationÖztürk, N. (2003). “Use of genetic algorithm to design optimal neural network structure”. Engineering Computations, 20(7-8), 979-997.
dc.identifier.endpage997
dc.identifier.issn0264-4401
dc.identifier.issue7-8
dc.identifier.scopus2-s2.0-17344381470
dc.identifier.startpage979
dc.identifier.urihttps://doi.org/10.1108/02644400310502982
dc.identifier.urihttps://www.emerald.com/insight/content/doi/10.1108/02644400310502982/full/html
dc.identifier.urihttp://hdl.handle.net/11452/25915
dc.identifier.volume20
dc.identifier.wos000223976000009
dc.indexed.wosSCIE
dc.language.isoen
dc.publisherEmerald Group Publishing
dc.relation.journalEngineering Computations
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectComputer science
dc.subjectEngineering
dc.subjectMathematics
dc.subjectMechanics
dc.subjectMathematical modelling
dc.subjectProgramming and algorithm theory
dc.subjectNeural nets
dc.subjectFeature recognition
dc.subjectManufacturing features
dc.subjectOptimization
dc.subjectSearch
dc.subjectClassification
dc.subjectSystem
dc.subjectModels
dc.subjectArtificial intelligence
dc.subjectBackpropagation
dc.subjectComputational complexity
dc.subjectDesign
dc.subjectFeature extraction
dc.subjectLearning systems
dc.subjectManufacture
dc.subjectMathematical models
dc.subjectMathematical programming
dc.subjectMultilayer neural networks
dc.subjectGenetic input selection method
dc.subjectNeural network structure
dc.subjectGenetic algorithms
dc.subject.scopusComputer Aided Manufacturing; Feature Recognition; Machining
dc.subject.wosComputer science, interdisciplinary applications
dc.subject.wosEngineering, multidisciplinary
dc.subject.wosMathematics, interdisciplinary applications
dc.subject.wosMechanics
dc.titleUse of genetic algorithm to design optimal neural network structure
dc.typeArticle
dc.wos.quartileQ3
dc.wos.quartileQ2 (Engineering, multidisciplinary)
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Endüstri Mühendisliği Bölümü
local.indexed.atScopus
local.indexed.atWOS

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