Genetic Programming Based Approach for Synchronization with Parameter Mismatches in EEG

dc.contributor.authorAhalpara, Dilip P.en_US
dc.contributor.authorArora, Siddharthen_US
dc.contributor.authorSANTHANAM, M. S.en_US
dc.contributor.departmentDept. of Physicsen_US
dc.date.accessioned2022-06-15T06:37:10Z
dc.date.available2022-06-15T06:37:10Z
dc.date.issued2009en_US
dc.description.abstractEffects of parameter mismatches in synchronized time series are studied first for an analytical non-linear dynamical system (coupled logistic map, CLM) and then in a real system (Electroencephalograph (EEG) signals). The internal system parameters derived from GP analysis are shown to be quite effective in understanding aspects of synchronization and non-synchronization in the two systems considered. In particular, GP is also successful in generating the CLM coupled equations to a very good accuracy with reasonable multi-step predictions. It is shown that synchronization in the above two systems is well understood in terms of parameter mismatches in the system equations derived by GP approach.en_US
dc.identifier.doihttps://doi.org/10.1007/978-3-642-01181-8_2en_US
dc.identifier.isbn978-3-642-01180-1
dc.identifier.isbn978-3-642-01181-8
dc.identifier.otherPart of the Lecture Notes in Computer Science book series (LNTCS,volume 5481)en_US
dc.identifier.sourcetitleEuroGP 2009: Genetic Programmingen_US
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-642-01181-8_2
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7073
dc.language.isoenen_US
dc.publication.originofpublisherForeignen_US
dc.publisherSpringer Natureen_US
dc.subjectPhysicsen_US
dc.subject2009en_US
dc.titleGenetic Programming Based Approach for Synchronization with Parameter Mismatches in EEGen_US
dc.typeConference Papersen_US

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