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A new stability condition for discrete time recurrent neural networks with complex-valued linear threshold neurons

contributor authorWei Zhou , Zurada, J.M.
date accessioned2020-03-12T23:24:04Z
date available2020-03-12T23:24:04Z
date issued2014
identifier other6889621.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1110161?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA new stability condition for discrete time recurrent neural networks with complex-valued linear threshold neurons
typeConference Paper
contenttypeMetadata Only
identifier padid8278841
subject keywordsdata mining
subject keywordsdrug delivery systems
subject keywordselectronic health records
subject keywordsdrug interaction signal detection
subject keywordsdrug safety professionals
subject keywordsepidemiology study
subject keywordsfunctional temporal interest
subject keywordspatient electronic health data
subject keywordspost-marketing surveillance
subject keywordstemporal association mining techniques
subject keywordstemporal interestingness measure
subject keywordsAssociation rules
subject keywordsDrugs
subject keywordsElectric potential
subject keywordsHospitals
subject keywordsSurveillance
identifier doi10.1109/EMBC.2014.6944185
journal titleeural Networks (IJCNN), 2014 International Joint Conference on
filesize703685
citations0


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