A rough neural network - based approach to determining the main airways affecting the stability of airflow in mine ventilation is put forward.
提出基于粗神经网络确定影响矿内通风风流稳定性主要风路的方法。
The results showed that the resistance of mine ventilation system was reduced and the stability and ability of fighting against natural calamities of mine ventilation network were improved.
经实施后，降低了通风系统阻力，提高了矿井通风系统稳定性和抗灾能力。
The results showed that the resistance of mine ventilation system was reduced and the stability and ability of fighting against natural calamities of mine ventilation network were improved.
经实施后，降低了通风系统阻力，提高了矿井通风系统稳定性和抗灾能力。
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