Comparison of simulation algorithms for the Hopfield neural network: An application of economic dispatch

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dc.contributor.authorTankut Yalçınöz
dc.contributor.authorHalis Altun
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2000
dc.departmentNiğde ÖHÜ
dc.description.abstractThis paper is mainly concerned with an investigation of the suitability of Hopfield neural network structures in solving the power economic dispatch problem. For Hopfield neural network applications to this problem three important questions have been answered: what the size of the power system is; how efficient the computational method; and how to handle constraints. A new mapping process is formulated and a computational method for obtaining the weights and biases is described. A few simulation algorithms used to solve the dynamic equation of the Hopfield neural network are discussed. The results are compared with those of a classical technique, Hopfield neural network approaches and an improved Hopfield neural network approach [1].
dc.description.abstractThis paper is mainly concerned with an investigation of the suitability of Hopfield neural network structures in solving the power economic dispatch problem. For Hopfield neural network applications to this problem three important questions have been answered: what the size of the power system is; how efficient the computational method; and how to handle constraints. A new mapping process is formulated and a computational method for obtaining the weights and biases is described. A few simulation algorithms used to solve the dynamic equation of the Hopfield neural network are discussed. The results are compared with those of a classical technique, Hopfield neural network approaches and an improved Hopfield neural network approach [1].
dc.identifier.endpage80
dc.identifier.issn1300-0632
dc.identifier.issue1
dc.identifier.scopus2-s2.0-0033656159
dc.identifier.scopusqualityQ3
dc.identifier.startpage67
dc.identifier.trdizinid50972
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TlRBNU56SXk=
dc.identifier.urihttps://hdl.handle.net/11480/2076
dc.identifier.volume8
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciences
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMühendislik
dc.subjectElektrik ve Elektronik
dc.titleComparison of simulation algorithms for the Hopfield neural network: An application of economic dispatch
dc.typeArticle

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