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Generalizations of the Hamming Associative Memory
dc.contributor.authorHassoun, Mohamad H.en_US
dc.contributor.authorWatta, Paulen_US
dc.date.accessioned2006-09-11T16:00:43Z
dc.date.available2006-09-11T16:00:43Z
dc.date.issued2001-04en_US
dc.identifier.citationWatta, Paul; Hassoun, Mohamad H.; (2001). "Generalizations of the Hamming Associative Memory." Neural Processing Letters 13(2): 183-194. <http://hdl.handle.net/2027.42/45397>en_US
dc.identifier.issn1370-4621en_US
dc.identifier.issn1573-773Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45397
dc.description.abstractThis Letter reviews four models of associative memory which generalize the operation of the Hamming associative memory: the grounded Hamming memory, the cellular Hamming memory, the decoupled Hamming memory, and the two-level decoupled Hamming memory. These memory models offer high performance and allow for a more practical hardware realization than the Hamming net and other fully interconnected neural net architectures.en_US
dc.format.extent218598 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherAssociative Memoryen_US
dc.subject.otherNonlinear Dynamics, Complex Systems, Chaos, Neural Networksen_US
dc.subject.otherPhysicsen_US
dc.subject.otherArtificial Intelligence (Incl. Robotics)en_US
dc.subject.otherElectronic and Computer Engineeringen_US
dc.subject.otherOperation Research/Decision Theoryen_US
dc.subject.otherArtificial Neural Networken_US
dc.subject.otherCapacityen_US
dc.subject.otherError Correctionen_US
dc.subject.otherHamming Neten_US
dc.titleGeneralizations of the Hamming Associative Memoryen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhilosophyen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Electrical & Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, 48128, USAen_US
dc.contributor.affiliationotherDepartment of Electrical & Computer Engineering, Wayne State University, Detroit, MI, 48202, USAen_US
dc.contributor.affiliationumcampusDearbornen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45397/1/11063_2004_Article_319505.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1011384407294en_US
dc.identifier.sourceNeural Processing Lettersen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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