APPLICATIONS OF ARTIFICIAL-INTELLIGENCE IN ORGANIC-CHEMISTRY .17. NEW PROGRAMS IN THE SISTEMAT PROJECT

dc.contributorUniversidade de São Paulo (USP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:23:43Z
dc.date.accessioned2022-10-05T16:23:46Z
dc.date.available2014-05-20T15:23:43Z
dc.date.available2022-10-05T16:23:46Z
dc.date.created2014-05-20T15:23:43Z
dc.date.issued1994-01-01
dc.identifierSpectroscopy-an International Journal. Amsterdam: IOS Press, v. 12, n. 2, p. 91-98, 1994.
dc.identifier0712-4813
dc.identifierhttp://hdl.handle.net/11449/34441
dc.identifierWOS:A1994QY71800005
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3906579
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.
dc.languagefra
dc.publisherIOS Press
dc.relationSpectroscopy-an International Journal
dc.relation0,106
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.titleAPPLICATIONS OF ARTIFICIAL-INTELLIGENCE IN ORGANIC-CHEMISTRY .17. NEW PROGRAMS IN THE SISTEMAT PROJECT
dc.typeArtigo


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