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AuthorKnoblauch, Andreasdc.contributor.author
AuthorPalm, Güntherdc.contributor.author
Date of accession2021-01-13T14:03:56Zdc.date.accessioned
Available in OPARU since2021-01-13T14:03:56Zdc.date.available
Date of first publication2019dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordAssociative networksdc.subject
KeywordWillshaw modeldc.subject
KeywordBlock codingdc.subject
KeywordPotts modeldc.subject
KeywordClique networksdc.subject
KeywordGBNNdc.subject
KeywordBiclique networksdc.subject
KeywordCell assemblydc.subject
KeywordNEURAL-NETWORKSdc.subject
KeywordCAPACITYdc.subject
KeywordSTORAGEdc.subject
KeywordMODELSdc.subject
Dewey Decimal GroupDDC 000 / Computer science, information & general worksdc.subject.ddc
TitleBidirectional Associative Memory with Block Coding: A Comparison of Iterative Retrieval Methodsdc.title
Resource typeBeitrag zu einer Konferenzdc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Neuroinformatikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1007/978-3-030-30487-4_1dc.identifier.doiExternal
Source - Title of sourceArtificial neural networks and machine learning – ICANN 2019. Part 1: Theoretical neural computationsource.title
Quellenangabe - HerausgeberTetko, Igor V.source.contributor.editor1
Quellenangabe - HerausgeberKůrková, Věrasource.contributor.editor1
Quellenangabe - HerausgeberKarpov, Pavelsource.contributor.editor1
Quellenangabe - HerausgeberTheis, Fabiansource.contributor.editor1
Source - PublisherChamsource.publisherPlace
Source - Place of publicationSpringersource.publisher
Source - Year2019source.year
Source - From page3source.fromPage
Source - To page19source.toPage
Source - SerialLecture Notes in Computer Science ; 11727source.series
Source - ISSN0302-9743source.identifier.issn
Source - eISSN1611-3349source.identifier.eissn
Source - ISBN978-3-030-30487-4source.identifier.isbn
Source - ISBN978-3-030-30486-7source.identifier.isbn
Conference name28th International Conference on Artificial Neural Networks (ICANN)uulm.conferenceName
Conference placeMünchenuulm.conferencePlace
Conference start date2019-09-17uulm.conferenceStartDate
Conference end date2019-09-19uulm.conferenceEndDate
Suitable communityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000546494000001uulm.identifier.wos
University Bibliographyjauulm.unibibliographie


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