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Article: A probabilistic associative memory and its application to signal processing in electrical power systems

TitleA probabilistic associative memory and its application to signal processing in electrical power systems
Authors
Alves Da Silva, APQuintana, VHPang, GKH
KeywordsArtificial Neural Networks
Associative Memories
Event-Covering
Optimal Associative Mappings
Power Systems
Signal Processing
Issue Date1992
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/engappai
Citation
Engineering Applications Of Artificial Intelligence, 1992, v. 5 n. 4, p. 309-318 How to Cite?
AbstractThis paper presents a new associative memory model. Its development is a consequence of work on a new framework (using pattern-analysis techniques) for solving data-acquisition and processing problems in power systems. The proposed probabilistic associative memory is compared with other associative memory models (particularly the ones suitable for massively parallel implementations, such as artificial neural networks) for the solution of the observability analysis and bad data processing tasks in power systems. © 1992.
Persistent Identifierhttp://hdl.handle.net/10722/155338
ISSN
0952-1976
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 1.749
ISI Accession Number ID
WOS:A1992JJ49900004

 

DC FieldValueLanguage
dc.contributor.authorAlves Da Silva, APen_US
dc.contributor.authorQuintana, VHen_US
dc.contributor.authorPang, GKHen_US
dc.date.accessioned2012-08-08T08:32:57Z-
dc.date.available2012-08-08T08:32:57Z-
dc.date.issued1992en_US
dc.identifier.citationEngineering Applications Of Artificial Intelligence, 1992, v. 5 n. 4, p. 309-318en_US
dc.identifier.issn0952-1976en_US
dc.identifier.urihttp://hdl.handle.net/10722/155338-
dc.description.abstractThis paper presents a new associative memory model. Its development is a consequence of work on a new framework (using pattern-analysis techniques) for solving data-acquisition and processing problems in power systems. The proposed probabilistic associative memory is compared with other associative memory models (particularly the ones suitable for massively parallel implementations, such as artificial neural networks) for the solution of the observability analysis and bad data processing tasks in power systems. © 1992.en_US
dc.languageengen_US
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/engappaien_US
dc.relation.ispartofEngineering Applications of Artificial Intelligenceen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectAssociative Memoriesen_US
dc.subjectEvent-Coveringen_US
dc.subjectOptimal Associative Mappingsen_US
dc.subjectPower Systemsen_US
dc.subjectSignal Processingen_US
dc.titleA probabilistic associative memory and its application to signal processing in electrical power systemsen_US
dc.typeArticleen_US
dc.identifier.emailPang, GKH:gpang@eee.hku.hken_US
dc.identifier.authorityPang, GKH=rp00162en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-33747454110en_US
dc.identifier.volume5en_US
dc.identifier.issue4en_US
dc.identifier.spage309en_US
dc.identifier.epage318en_US
dc.identifier.isiWOS:A1992JJ49900004-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridAlves Da Silva, AP=6701733691en_US
dc.identifier.scopusauthoridQuintana, VH=22956521300en_US
dc.identifier.scopusauthoridPang, GKH=7103393283en_US
dc.identifier.issnl0952-1976-

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