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Evidence-Based Complementary and Alternative Medicine
Volume 2015, Article ID 561024, 9 pages
http://dx.doi.org/10.1155/2015/561024
Research Article

Application of Artificial Intelligence to the Prediction of the Antimicrobial Activity of Essential Oils

Center for Pharmacognosy and Phytotherapy, Department of Pharmaceutical and Biological Chemistry, School of Pharmacy, University of London, 29-39 Brunswick Square, London WC1N 1AX, UK

Received 22 March 2015; Revised 8 August 2015; Accepted 23 August 2015

Academic Editor: Filippo Maggi

Copyright © 2015 Mathieu Daynac et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplementary Data file contains the composition of the inputs (chemicals), the validation of the ANNs (linear regresions) and the correaltion between real values and predictions. The Excel file contains the raw data with the full composition of the essential oils.

  1. Supplementary Material