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Article: Associative memory models for data processing

TitleAssociative memory models for data processing
Authors
Alves Da Silva, APQuintana, VHPang, GKH
KeywordsData Gathering And Analysis
On-Line Computer Systems
State Estimation
Issue Date1992
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/ijepes
Citation
International Journal Of Electrical Power And Energy Systems, 1992, v. 14 n. 1, p. 23-32 How to Cite?
AbstractThis paper is an extension of work on a new framework for solving data acquisition and processing problems in power systems. The proposed methodology applies pattern analysis techniques to solve the network configuration, observability analysis and bad data processing problems. Other associative memory models are investigated for the solution of the observability analysis and bad data processing tasks. Special emphasis has been given to pattern analysis tools suitable for massively parallel implementations, such as artificial neural network models. Test results have been obtained for the IEEE 24- and 118-bus test systems. © 1992.
Persistent Identifierhttp://hdl.handle.net/10722/155429
ISSN
0142-0615
2023 Impact Factor: 5.0
2023 SCImago Journal Rankings: 1.711

 

DC FieldValueLanguage
dc.contributor.authorAlves Da Silva, APen_US
dc.contributor.authorQuintana, VHen_US
dc.contributor.authorPang, GKHen_US
dc.date.accessioned2012-08-08T08:33:26Z-
dc.date.available2012-08-08T08:33:26Z-
dc.date.issued1992en_US
dc.identifier.citationInternational Journal Of Electrical Power And Energy Systems, 1992, v. 14 n. 1, p. 23-32en_US
dc.identifier.issn0142-0615en_US
dc.identifier.urihttp://hdl.handle.net/10722/155429-
dc.description.abstractThis paper is an extension of work on a new framework for solving data acquisition and processing problems in power systems. The proposed methodology applies pattern analysis techniques to solve the network configuration, observability analysis and bad data processing problems. Other associative memory models are investigated for the solution of the observability analysis and bad data processing tasks. Special emphasis has been given to pattern analysis tools suitable for massively parallel implementations, such as artificial neural network models. Test results have been obtained for the IEEE 24- and 118-bus test systems. © 1992.en_US
dc.languageengen_US
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/ijepesen_US
dc.relation.ispartofInternational Journal of Electrical Power and Energy Systemsen_US
dc.subjectData Gathering And Analysisen_US
dc.subjectOn-Line Computer Systemsen_US
dc.subjectState Estimationen_US
dc.titleAssociative memory models for data processingen_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-s2.0-38249015057en_US
dc.identifier.volume14en_US
dc.identifier.issue1en_US
dc.identifier.spage23en_US
dc.identifier.epage32en_US
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.issnl0142-0615-

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