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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/34441
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dc.contributor.authorEmerenciano, V. D.-
dc.contributor.authorRodrigues, G. D.-
dc.contributor.authorMacari, PAT-
dc.contributor.authorVesti, S. A.-
dc.contributor.authorBorges, JHG-
dc.contributor.authorGastmans, J. P.-
dc.contributor.authorFromanteau, DLG-
dc.date.accessioned2014-05-20T15:23:43Z-
dc.date.accessioned2016-10-25T17:57:43Z-
dc.date.available2014-05-20T15:23:43Z-
dc.date.available2016-10-25T17:57:43Z-
dc.date.issued1994-01-01-
dc.identifier.citationSpectroscopy-an International Journal. Amsterdam: IOS Press, v. 12, n. 2, p. 91-98, 1994.-
dc.identifier.issn0712-4813-
dc.identifier.urihttp://hdl.handle.net/11449/34441-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/34441-
dc.description.abstractThis work describes the new improvements of the SISTEMAT project, one system for structural elucidation mainly in the field of Natural Products Chemistry. Some examples of the resolution of problems using C-13 Nuclear Magnetic Resonance and Mass Spectroscopy are given. Programs to discover new heuristic rules for structure generation are discussed. The data base contains about 10000 C-13 NMR spectra.en
dc.format.extent91-98-
dc.language.isofra-
dc.publisherIOS Press-
dc.sourceWeb of Science-
dc.titleAPPLICATIONS OF ARTIFICIAL-INTELLIGENCE IN ORGANIC-CHEMISTRY .17. NEW PROGRAMS IN THE SISTEMAT PROJECTen
dc.typeoutro-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUNIV SAO PAULO,INST QUIM,BR-20780 SAO PAULO,BRAZIL-
dc.description.affiliationUNESP,FAC ENGN,BR-12500 GUARATINGUETA,SP,BRAZIL-
dc.description.affiliationUnespUNESP,FAC ENGN,BR-12500 GUARATINGUETA,SP,BRAZIL-
dc.identifier.wosWOS:A1994QY71800005-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofSpectroscopy-an International Journal-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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