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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2015> 24(3): 285-290
ZHANG Li-ning, ZHANG Qi, AN Jing. High-rise building fire pre-warning model based on the support vector regression[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2015, 24(3): 285-290. doi: 10.15918/j.jbit1004-0579.201524.0301
Citation: ZHANG Li-ning, ZHANG Qi, AN Jing. High-rise building fire pre-warning model based on the support vector regression[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2015, 24(3): 285-290.doi:10.15918/j.jbit1004-0579.201524.0301
shu

High-rise building fire pre-warning model based on the support vector regression

doi:10.15918/j.jbit1004-0579.201524.0301
  • 1.

    State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China;Architecture Engineering College, North China Institute of Science and Technology, Beijing 101601, China

  • 2.

    State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China

  • 3.

    Architecture Engineering College, North China Institute of Science and Technology, Beijing 101601, China

  • Received Date:2014-02-01
    Abstract
  • Aiming at reducing the deficiency of the traditional fire pre-warning algorithms and the intelligent fire pre-warning algorithms such as artificial neural network, and then to improve the accuracy of fire pre-warning for high-rise buildings, a composite fire pre-warning controller is designed according to the characteristic (nonlinear, less historical data, many influence factors), also a high-rise building fire pre-warning model is set up based on the support vector regression(SVR).Then the wood fire standard history data is applied to make empirical analysis. The research results can provide a reliable decision support framework for high-rise building fire pre-warning.
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    • References (15)
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