Title: artificial neural networks Long Title: IUPAC Gold Book - artificial neural networks DOI: 10.1351/goldbook.AT06947 Status: current Definition 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. Related Term - pattern recognition: https://goldbook.iupac.org//terms/view/PT06976 Source - PAC, 1997, 69, 1137. 'Glossary of terms used in computational drug design (IUPAC Recommendations 1997)' on page 1140 (https://doi.org/10.1351/pac199769051137) Other Outputs - html: https://goldbook.iupac.org/terms/view/AT06947/html - json: https://goldbook.iupac.org/terms/view/AT06947/json - xml: https://goldbook.iupac.org/terms/view/AT06947/xml Citation: Citation: 'artificial neural networks' in IUPAC Compendium of Chemical Terminology, 5th ed. International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.AT06947 License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International (https://creativecommons.org/licenses/by-sa/4.0/) for individual terms. Collection: If you are interested in licensing the Gold Book for commercial use, please contact the IUPAC Executive Director at executivedirector@iupac.org . Disclaimer: The International Union of Pure and Applied Chemistry (IUPAC) is continuously reviewing and, where needed, updating terms in the Compendium of Chemical Terminology (the IUPAC Gold Book). Users of these terms are encouraged to include the version of a term with its use and to check regularly for updates to term definitions that you are using. Accessed: 2026-04-18T17:28:05+00:00