Abstract
A number of more challenging problems (33 items total) are collected in this chapter. These problems are solved using Fuzzy Structure Generation (FSG)—a sophisticated approach which solves problems under the condition that an unknown number of correlations of unknown “nonstandard” lengths (of 4, 5, and more bonds) are present in a full set of 2D NMR data. The chapter shows how this approach allows the researcher to solve very complex problems including those that initially seemed unresolvable. The FSG approach significantly enhances the ability of a scientist to perform structure elucidation from fuzzy, complex, and contradictory 2D NMR data. The problems allow the reader to see that Structure Elucidator (the most advanced modern expert system) is not a robot intending to exclude human expertise from the process of structure elucidation, but is a powerful amplifier of human intelligence, an engine for inferring all logical corollaries (structures) from NMR spectroscopic data, and fuses spectrum-structure knowledge with assumptions introduced by the chemist.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
