摘要
使用神经网络来扒合计算柴油添加剂降低碳烟排放效果的试验数据，从而获取更多的信息数据。通过计算，发现5种环烷酸盐柴油添加剂的最佳添加量主要集中在质量浓度为2‰～3‰之间，超过该范围，作用效果明显变缓。
The neural network is used in calculating the experimental data Of diesel fuel additives used for lowering the smoke emission from diesel engines to obtain more information. The calculation results show that the optimal amount of the five naphthenates in the diesel fuel is between 2‰ and 3‰, above which means decreased moditieation effect.
出处
《内燃机》
2006年第2期37-39,43,共4页
Internal Combustion Engines
基金
浙江省交通厅科技计划项目(2003E06)
关键词
神经网络
计算
柴油添加剂
发动机台架试验
neural network
calculation
diesel fuel additive
engine bench test
