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artificial neural networks

Artificial neural networks (ANN) are algorithms simulating the functioning of human neurons and may be used for pattern recognition problems, e.g., to establish quantitative structure-activity relationships.
Source:
PAC, 1997, 69, 1137 (Glossary of terms used in computational drug design (IUPAC Recommendations 1997)) on page 1140
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IUPAC. Compendium of Chemical Terminology, 2nd ed. (the "Gold Book"). Compiled by A. D. McNaught and A. Wilkinson. Blackwell Scientific Publications, Oxford (1997). XML on-line corrected version: http://goldbook.iupac.org (2006-) created by M. Nic, J. Jirat, B. Kosata; updates compiled by A. Jenkins. ISBN 0-9678550-9-8. doi:10.1351/goldbook.
Last update: 2014-02-24; version: 2.3.3.
DOI of this term: doi:10.1351/goldbook.AT06947.
Original PDF version: http://www.iupac.org/goldbook/AT06947.pdf. The PDF version is out of date and is provided for reference purposes only. For some entries, the PDF version may be unavailable.
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