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dc.contributor.authorLópez Alcantud, José Alejandro 
dc.contributor.authorKazmierski, Tom J. 
dc.date.accessioned2010-09-07T11:54:52Z
dc.date.available2010-09-07T11:54:52Z
dc.date.issued2000-05
dc.identifier.citationLÓPEZ ALCANTUD, José Alejandro, KAZMIERSKI, Tom. VHDL-AMS modeling of self-organizing neural systems. En: tional Symposium on Circuits and Systems (2000: Ginebra). Proceedings of the IEEE 2000 International Symposium on Circuits and Systems. ISCAS 2000, Geneva: Emerging Technologies. Piscataway: Institute Electrical and Electronics Engineers, 2000. 734 - 737 vol.3. ISBN 0-7803-5482-6es
dc.identifier.isbn0-7803-5482-6
dc.description.abstractThis paper presents VHDL-AMS models and simulation results for a complex, self-organizing neural system based on the adaptive resonance theory. Such neural systems exhibit both discrete and continuous dynamic behavior and consist of a large number of analog equations, a digital controller with analog and digital feedback paths resulting in the complexity that would prohibit analysis with conventional mixed-signal simulation tools.es
dc.formatapplication/pdf
dc.language.isoenges
dc.publisherInstitute Electrical and Electronics Engineers (IEEE)es
dc.rights© Copyright 2000 IEEEes
dc.titleVHDL-AMS modeling of self-organizing neural systemses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.subject.otherElectrónicaes
dc.subjectRed neuronal ARTes
dc.subjectCircuito CADes
dc.subjectCircuito de realimentaciónes
dc.subjectCircuito de simulaciónes
dc.subjectCircuito integrado de modeladoes
dc.subjectMezcla analógica-digital de circuitos integradoses
dc.subjectART neural netses
dc.subjectCircuit CADes
dc.subjectCircuit feedbackes
dc.subjectCircuit simulationes
dc.subjectIntegrated circuit modellinges
dc.subjectMixed analogue-digital integrated circuitses
dc.identifier.urihttp://hdl.handle.net/10317/1338
dc.identifier.doi10.1109/ISCAS.2000.856165


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