MLchartDataset catalogue

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.

Table 1. Record
IdentifierMLC-T-CHM-000813
FieldChemistry
SubjectChemistry and Human Health
ReferencesPAC, 1997, 69, 1137. 'Glossary of terms used in computational drug design (IUPAC Recommendations 1997)' on page 1140 (https://doi.org/10.1351/pac199769051137)
See alsoPattern 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.