The Impact of Available Experimental Data on the Prediction of 1H NMR Chemical Shifts by Neural Networks
Author:
Affiliation:
1. REQUIMTE, CQFB, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Quinta da Torre, 2829-516 Caparica, Portugal
Publisher
American Chemical Society (ACS)
Subject
Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ci034229k
Reference9 articles.
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