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2ab4a0840a8d9e1227e6 · Development of a Flashover Prediction Model for Compartment Fires Using Support Vector Regression

Development of a Flashover Prediction Model for Compartment Fires Using Support Vector Regression

This report provides additional technical details to an article entitled P-Flash – A Machine Learning-based Model for Flashover Prediction using Recovered Temperature Data. Research was conducted to examine the use of Support Vector Regression (SVR) to

Официальный источник · 2022-04-01

Полные импортированные сведения карточки
{
  "title_en": "Development of a Flashover Prediction Model for Compartment Fires Using Support Vector Regression",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2022-04-01",
  "date_original": "April 1, 2022",
  "url": "https://www.nist.gov/publications/development-flashover-prediction-model-compartment-fires-using-support-vector",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Wai Cheong Tam , Jun Wang, Richard D. Peacock , Paul A. Reneke , Eugene Yujun Fu, Thomas Cleary",
  "abstract_excerpt_en": "This report provides additional technical details to an article entitled P-Flash – A Machine Learning-based Model for Flashover Prediction using Recovered Temperature Data. Research was conducted to examine the use of Support Vector Regression (SVR) to",
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  "sources": [
    "NIST Publications"
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    {
      "title_en": "Development of a Flashover Prediction Model for Compartment Fires Using Support Vector Regression",
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      "date": "2022-04-01",
      "date_original": "April 1, 2022",
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      "source": "NIST Publications",
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      "authors_en": "Wai Cheong Tam , Jun Wang, Richard D. Peacock , Paul A. Reneke , Eugene Yujun Fu, Thomas Cleary",
      "abstract_excerpt_en": "This report provides additional technical details to an article entitled P-Flash – A Machine Learning-based Model for Flashover Prediction using Recovered Temperature Data. Research was conducted to examine the use of Support Vector Regression (SVR) to"
    }
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