Yayın:
Global robust stability of bidirectional associative memory neural networks

Basit öğe sayfası
dc.contributor.authorSenan, Sibel
dc.contributor.authorArik, Sabri
dc.contributor.authorTavsanoglu, Vedat
dc.date.accessioned2026-06-27T13:04:33Z
dc.date.issued2007
dc.description.abstractThis paper presents a sufficient condition for the existence, uniqueness and global robust asymptotic stability of the equilibrium point for bidirectional associative memory (BAM) neural networks with discrete time delays. Some numerical examples are given to compare our results with the previous robust stability results derived in the literature.en
dc.description.sponsorshipScientific and Technological Research Council of Turkey [104E024]
dc.description.urihttps://doi.org/10.1109/ecctd.2007.4529718
dc.identifier.doi10.1109/ecctd.2007.4529718
dc.identifier.endpage+
dc.identifier.isbn978-1-4244-1341-6
dc.identifier.startpage803
dc.identifier.urihttps://hdl.handle.net/20.500.14981/49357
dc.identifier.wos000258708400198
dc.language.isoeng
dc.publisherIEEE
dc.relation.conference18th European Conference on Circuit Theory Design
dc.relation.ispartof2007 EUROPEAN CONFERENCE ON CIRCUIT THEORY AND DESIGN, VOLS 1-3
dc.subjectQUADRATIC-PROGRAMMING PROBLEMS
dc.subjectEXPONENTIAL STABILITY
dc.subjectCONTINUOUS-TIME
dc.subjectDELAYS
dc.subjectPERIODICITY
dc.subjectCRITERIA
dc.subjectEngineering
dc.titleGlobal robust stability of bidirectional associative memory neural networks
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

Dosyalar

Koleksiyonlar

Yayınlar