NEW ITERATIVE INVERSE SCATTERING ALGORITHMS BASED ON NEURAL NETWORKS

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dc.contributor.authorLEE, HJko
dc.contributor.authorAHN, CHko
dc.contributor.authorPARK, CSko
dc.contributor.authorJEONG, BSko
dc.contributor.authorLee, Soo-Youngko
dc.date.accessioned2013-02-24T09:25:14Z-
dc.date.available2013-02-24T09:25:14Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1994-09-
dc.identifier.citationIEEE TRANSACTIONS ON MAGNETICS, v.30, no.5, pp.3643 - 2-
dc.identifier.issn0018-9464-
dc.identifier.urihttp://hdl.handle.net/10203/56059-
dc.description.abstractBy introducing analogy between electromagnetic field problems and neural network models, new iterative numerical methods are developed for inverse scattering problems. Both recurrent and feedfoward neural network architectures are developed, and the validity of the proposed algorithms is demonstrated by computer simulation for small dielectric cylinders.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectMOMENT METHOD-
dc.titleNEW ITERATIVE INVERSE SCATTERING ALGORITHMS BASED ON NEURAL NETWORKS-
dc.typeArticle-
dc.identifier.wosidA1994PD54200196-
dc.identifier.scopusid2-s2.0-0028514122-
dc.type.rimsART-
dc.citation.volume30-
dc.citation.issue5-
dc.citation.beginningpage3643-
dc.citation.endingpage2-
dc.citation.publicationnameIEEE TRANSACTIONS ON MAGNETICS-
dc.contributor.localauthorLee, Soo-Young-
dc.contributor.nonIdAuthorLEE, HJ-
dc.contributor.nonIdAuthorAHN, CH-
dc.contributor.nonIdAuthorPARK, CS-
dc.contributor.nonIdAuthorJEONG, BS-
dc.type.journalArticleArticle; Proceedings Paper-
dc.subject.keywordPlusMOMENT METHOD-
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