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
Draft Accepted
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.
Important Date
  • Conference Date

    Oct 22

    2018

    to

    Oct 24

    2018

  • May 31 2018

    Abstract Submission Deadline

  • Jul 05 2018

    Draft paper submission deadline

  • Aug 10 2018

    Draft Paper Acceptance Notification

  • Oct 24 2018

    Registration deadline

Sponsored By
University of Science and Technology Beijing
McGill University
China University of Mining and Technology (Beijing)
Henan Polytechnic University
Notheastern University
Chongqing University
China University of Mining and Technology
Laurentian University
University of Wollongong
Liaoning Technical University
Xi’an University of Science and Technology
North China University of Technology
Jiangxi University of Science and Technology
Heilongjiang University of Science and Technology
Supported By
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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