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NIST · ИТ · 2716ab63ade7809f0d24

2716ab63ade7809f0d24 · On the Use of Machine Learning Models to Forecast Flashover Occurrence in a Compartment

On the Use of Machine Learning Models to Forecast Flashover Occurrence in a Compartment

This paper presents a study to examine the potential use of machine learning algorithms to build a model to forecast the likelihood of flashover occurrence for a single-floor multi-room compartment. Synthetic temperature data for heat detectors from

Официальный источник · 2020-09-15

Полные импортированные сведения карточки
{
  "title_en": "On the Use of Machine Learning Models to Forecast Flashover Occurrence in a Compartment",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2020-09-15",
  "date_original": "September 15, 2020",
  "url": "https://www.nist.gov/publications/use-machine-learning-models-forecast-flashover-occurrence-compartment",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Jun Wang, Andy Tam , Paul A. Reneke , Richard Peacock , Thomas Cleary , Eugene Yujun Fu, Grace Ngai, Hong Va Leong",
  "abstract_excerpt_en": "This paper presents a study to examine the potential use of machine learning algorithms to build a model to forecast the likelihood of flashover occurrence for a single-floor multi-room compartment. Synthetic temperature data for heat detectors from",
  "id": "2716ab63ade7809f0d24",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "On the Use of Machine Learning Models to Forecast Flashover Occurrence in a Compartment",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2020-09-15",
      "date_original": "September 15, 2020",
      "url": "https://www.nist.gov/publications/use-machine-learning-models-forecast-flashover-occurrence-compartment",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Jun Wang, Andy Tam , Paul A. Reneke , Richard Peacock , Thomas Cleary , Eugene Yujun Fu, Grace Ngai, Hong Va Leong",
      "abstract_excerpt_en": "This paper presents a study to examine the potential use of machine learning algorithms to build a model to forecast the likelihood of flashover occurrence for a single-floor multi-room compartment. Synthetic temperature data for heat detectors from"
    }
  ],
  "translation_state": "none"
}