Bayesian regularized neural network

{
  "id": "MLC-T-CHM-001147",
  "term": "Bayesian regularized neural network",
  "field": "Chemistry",
  "definition": "A type of artificial neural network that incorporates Bayesian regularization techniques to improve generalization and prevent overfitting. This method adds a penalty term to the error function, which is determined by a Bayesian framework, effectively shrinking the network weights. It is often used in computational drug design for tasks like quantitative structure-activity relationship modeling.",
  "subject": "Chemistry and Human Health",
  "see_also": [
    "Bayesian statistics"
  ],
  "references": [
    "PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 242 (https://doi.org/10.1515/pac-2012-1204)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/bayesian-regularized-neural-network/"
}