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680b563a0fe31597e8a8 · P-Flash - A Machine Learning-based Model for Flashover Prediction using Recovered Temperature Data

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 build a model to forecast the potential occurrence of flashover in a single-floor, multi-room compartment fire. Synthetic temperature data for heat detectors in different rooms

Официальный источник · 2021-04-04

Полные импортированные сведения карточки
{
  "title_en": "P-Flash - A Machine Learning-based Model for Flashover Prediction using Recovered Temperature Data",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2021-04-04",
  "date_original": "April 4, 2021",
  "url": "https://www.nist.gov/publications/p-flash-machine-learning-based-model-flashover-prediction-using-recovered-temperature",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Jun Wang, Andy Tam , Youwei Jia, Richard Peacock , Paul A. Reneke , Eugene Yujun Fu, Thomas Cleary",
  "abstract_excerpt_en": "Research was conducted to examine the use of Support Vector Regression (SVR) to build a model to forecast the potential occurrence of flashover in a single-floor, multi-room compartment fire. Synthetic temperature data for heat detectors in different rooms",
  "id": "680b563a0fe31597e8a8",
  "sources": [
    "NIST Publications"
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    {
      "title_en": "P-Flash - A Machine Learning-based Model for Flashover Prediction using Recovered Temperature Data",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2021-04-04",
      "date_original": "April 4, 2021",
      "url": "https://www.nist.gov/publications/p-flash-machine-learning-based-model-flashover-prediction-using-recovered-temperature",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Jun Wang, Andy Tam , Youwei Jia, Richard Peacock , Paul A. Reneke , Eugene Yujun Fu, Thomas Cleary",
      "abstract_excerpt_en": "Research was conducted to examine the use of Support Vector Regression (SVR) to build a model to forecast the potential occurrence of flashover in a single-floor, multi-room compartment fire. Synthetic temperature data for heat detectors in different rooms"
    }
  ],
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