249 / 2018-05-09 17:28:38
Research on Ventilation System Optimization Based on BP Artificial Neural Network
Ventilation System; Optimization; BP Artificial Neural Network; ventilation resistance
全文录用
CHENG Lei / Henan Polytechnic University
Because air quantity was short and mine gas emission of deeply developing might increase in coal mine, some plans about mine ventilation system optimization based on BP neural network were proposed after the mensuration of ventilation resistance in ventilation system had been performed. According to the result of calculation by computer based on the data obtained in mensuration in Longmen coal mine, the paper made an optimizing plan based on BP neural network for mine ventilation system to solve the problems of mine fan high pressure and short air quantity, and got great benefits in economy and society. The main advantages of BP artificial neural network include simple structure, efficient convergence, precise forecasting, etc. The precision in calculation of model is higher, it has a certain practical value.
重要日期
  • 会议日期

    10月22日

    2018

    10月24日

    2018

  • 05月31日 2018

    摘要截稿日期

  • 07月05日 2018

    初稿截稿日期

  • 08月10日 2018

    初稿录用通知日期

  • 10月24日 2018

    注册截止日期

主办单位
北京科技大学
McGill University
中国矿业大学(北京)
河南理工大学
University of Wollongong
东北大学
重庆大学
中国矿业大学
Laurentian University
辽宁工程技术大学
西安科技大学
北方工业大学
江西理工大学
黑龙江科技大学
协办单位
中国职业安全健康协会
中国安全生产科学研究院
煤炭信息研究院
中安安全工程研究院
International Journal of Mining Science and Technology
Safety Science
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