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Controlling the chaotic discrete-Henon system using a feedforward neural network with an adaptive learning rate

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dc.contributor.authors Gokce, K; Uyaroglu, Y;
dc.date.accessioned 2020-02-27T07:00:14Z
dc.date.available 2020-02-27T07:00:14Z
dc.date.issued 2013
dc.identifier.citation Gokce, K; Uyaroglu, Y; (2013). Controlling the chaotic discrete-Henon system using a feedforward neural network with an adaptive learning rate. TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 21, 803-793
dc.identifier.issn 1300-0632
dc.identifier.uri https://doi.org/10.3906/elk-1109-58
dc.identifier.uri https://hdl.handle.net/20.500.12619/64693
dc.description.abstract This paper proposes a feedforward neural network-based control scheme to control the chaotic trajectories of a discrete-Henon map in order to stay within an acceptable distance from the stable fixed point. An adaptive learning back propagation algorithm with online training is employed to improve the effectiveness of the proposed method. The simulation study carried in the discrete-Henon system verifies the validity of the proposed control system.
dc.language English
dc.publisher TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY
dc.subject Engineering
dc.title Controlling the chaotic discrete-Henon system using a feedforward neural network with an adaptive learning rate
dc.type Article
dc.identifier.volume 21
dc.identifier.startpage 793
dc.identifier.endpage 803
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/Elektrik-Elektronik Mühendisliği Bölümü
dc.contributor.saüauthor Uyaroğlu, Yılmaz
dc.relation.journal TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
dc.identifier.wos WOS:000322745500013
dc.identifier.doi 10.3906/elk-1109-58
dc.contributor.author Uyaroğlu, Yılmaz


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