Artificial neural networks
Term · Chemistry · MLC-T-CHM-000813
Computational models inspired by the structure and function of biological neural networks, consisting of interconnected nodes (neurons) organized in layers. These networks are trained on data to recognize patterns, classify information, and make predictions. They are widely applied in drug design for tasks such as quantitative structure-activity relationship modeling.
| Identifier | MLC-T-CHM-000813 |
|---|---|
| Field | Chemistry |
| Subject | Chemistry and Human Health |
| References | PAC, 1997, 69, 1137. 'Glossary of terms used in computational drug design (IUPAC Recommendations 1997)' on page 1140 (https://doi.org/10.1351/pac199769051137) |
| See also | Pattern recognition |
Record as JSON
{
"id": "MLC-T-CHM-000813",
"term": "Artificial neural networks",
"field": "Chemistry",
"definition": "Computational models inspired by the structure and function of biological neural networks, consisting of interconnected nodes (neurons) organized in layers. These networks are trained on data to recognize patterns, classify information, and make predictions. They are widely applied in drug design for tasks such as quantitative structure-activity relationship modeling.",
"subject": "Chemistry and Human Health",
"see_also": [
"pattern recognition"
],
"references": [
"PAC, 1997, 69, 1137. 'Glossary of terms used in computational drug design (IUPAC Recommendations 1997)' on page 1140 (https://doi.org/10.1351/pac199769051137)"
],
"url": "https://mlchart.com/terminology/chemistry/artificial-neural-networks/"
}
Record 876 of 13,676 in Chemistry terminology (MLC-0109). Request the full dataset.