Genetic Programming Based Approach for Synchronization with Parameter Mismatches in EEG

SANTHANAM, M. S.; Ahalpara, Dilip P.; Arora, Siddharth

dc.contributor.author	Ahalpara, Dilip P.
dc.contributor.author	Arora, Siddharth
dc.contributor.author	SANTHANAM, M. S.
dc.date.accessioned	2022-06-15T06:37:10Z
dc.date.available	2022-06-15T06:37:10Z
dc.date.issued	2009
dc.identifier.isbn	978-3-642-01180-1
dc.identifier.isbn	978-3-642-01181-8
dc.identifier.other	Part of the Lecture Notes in Computer Science book series (LNTCS,volume 5481)	en_US
dc.identifier.uri	https://link.springer.com/chapter/10.1007/978-3-642-01181-8_2	en_US
dc.identifier.uri	http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7073
dc.description.abstract	Effects 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.language.iso	en	en_US
dc.publisher	Springer Nature	en_US
dc.subject	Physics	en_US
dc.subject	2009	en_US
dc.title	Genetic Programming Based Approach for Synchronization with Parameter Mismatches in EEG	en_US
dc.type	Conference Papers	en_US
dc.contributor.department	Dept. of Physics	en_US
dc.identifier.doi	https://doi.org/10.1007/978-3-642-01181-8_2	en_US
dc.identifier.sourcetitle	EuroGP 2009: Genetic Programming	en_US
dc.publication.originofpublisher	Foreign	en_US