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Dynamic reconstruction of chaotic systems from inter-spike intervals using least squares support vector machines

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dc.contributor.author İplikçi, Serdar.
dc.date.accessioned 2019-08-16T11:35:30Z
dc.date.available 2019-08-16T11:35:30Z
dc.date.issued 2006
dc.identifier.issn 0167-2789
dc.identifier.uri https://hdl.handle.net/11499/4611
dc.identifier.uri https://doi.org/10.1016/j.physd.2006.02.008
dc.description.abstract This work presents a methodology for dynamic reconstruction of chaotic systems from inter-spike interval (ISI) time series obtained via integrate-and-fire (IF) models. In this methodology, least squares support vector machines (LSSVMs) have been employed for approximating the dynamic behaviors of the systems under investigation. Higher generalization capability and avoidance of local minima constitute the main reasons behind the choice of LSSVMs as the approximation tool. Simulation results have shown that established LSSVM models possess great potential for the reconstruction of chaotic dynamics; in other words, they are able to estimate some dynamic invariants of the underlying chaotic systems as well as they can accurately predict short-term evolution within the horizon of predictability. Moreover, LSSVM models maintain their reconstruction performance even in the case of the existence of noisy data. © 2006 Elsevier Ltd. All rights reserved. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Physica D: Nonlinear Phenomena en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Chaotic time series en_US
dc.subject Dynamic reconstruction en_US
dc.subject Least squares support vector machines en_US
dc.subject Approximation theory en_US
dc.subject Computer simulation en_US
dc.subject Least squares approximations en_US
dc.subject Mathematical models en_US
dc.subject Time series analysis en_US
dc.subject Vectors en_US
dc.subject Chaos theory en_US
dc.title Dynamic reconstruction of chaotic systems from inter-spike intervals using least squares support vector machines en_US
dc.type Article en_US
dc.identifier.volume 216 en_US
dc.identifier.issue 2 en_US
dc.identifier.startpage 282
dc.identifier.startpage 282 en_US
dc.identifier.endpage 293 en_US
dc.authorid 0000-0003-3806-1442
dc.identifier.doi 10.1016/j.physd.2006.02.008
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.identifier.scopus 2-s2.0-33646145333 en_US
dc.identifier.wos WOS:000237775800004 en_US

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