摘要
出于对以往研究手段不足的考虑,结合BP神经网络优势,针对内燃机稳态排放建立BP神经网络数学分析模型,对排放性能展开研究,发现负荷较大时,内燃机NOX与碳烟排放水平比较高。进一步地,为了降低对大气的污染,提出相应内燃机排放控制建议,本文研究可以为相关人员采取有效措施控制内燃机排放污染提供一定借鉴与参考。
Considering the lack of previous research methods,combined with the advantages of BP neural network,a mathematical analysis model of BP neural network was established for the steady-state emission of internal combustion engines,and the emission performance was studied.relatively high.Further,in order to reduce the pollution to the atmosphere,the corresponding suggestions on the emission control of internal combustion engines are put forward.The research in this paper can provide some reference for relevant personnel to take effective measures to control the emission pollution of internal combustion engines.
作者
彭先萌
PENG Xian-meng(Hubei Industrial Polytechnic,Shiyan 442000,China)
出处
《内燃机与配件》
2022年第4期103-105,共3页
Internal Combustion Engine & Parts
关键词
BP神经网络
内燃机
排放性能
污染控制
BP neural network
internal combustion engine
emission performance
pollution control
