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车用柴油机扭矩和烟度的神经网络分析研究
引用本文:高峻,朱梅林,吴利民.车用柴油机扭矩和烟度的神经网络分析研究[J].华中科技大学学报(自然科学版),2001,29(11):98-100.
作者姓名:高峻  朱梅林  吴利民
作者单位:华中科技大学能源与动力工程学院
摘    要:建立了以扭矩和烟度为输出参数的柴油机稳态神经网络模型。并根据所建立的模型针对东风汽车公司制造的6BTA柴油机的扭矩和烟度进行了神经网络的计算分析,计算结果和实测数据基本相符。同时对某一工况稳因度参数进行了优化计算。

关 键 词:车用柴油机  扭矩  烟度  人工神经网络  激活函数  性能分析  计算
文章编号:1000-8616(2001)11-0098-03

Artificial Neural Network of Torque and Smoke Density for Vehicle Diesel Engine
Gao Jun,Zhu Meilin,Wu Limin.Artificial Neural Network of Torque and Smoke Density for Vehicle Diesel Engine[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2001,29(11):98-100.
Authors:Gao Jun  Zhu Meilin  Wu Limin
Institution:Gao Jun Zhu Meilin Wu Limin
Abstract:In this paper a steady state ANN model with the torque and smoke density as output parameters. For diesel engine is established. The torque and smoke density of 6BTA diesel engines manufactured by DFM corporation are analyzed and calculated by using the model .The calculated results are consistent with the measured data. The optimization of smoke density under a certain operating condition is calculated.
Keywords:vehicle diesel engine  torque  smoke density  artificial neural network
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