基于BP神经网络轻型轿车排放模型的应用  

Application of the emission prediction model of the light-duty cars based on BP neural network

作　　者：来超峰 蒋艳 张世达 许立峰 滕钰 

机构地区：[1]南京市机动车排气污染监督管理中心,江苏南京210019

出　　处：《汽车实用技术》2012年第1期14-16,共3页Automobile Applied Technology

摘　　要：本文利用BP神经网络理论,构造一个预测轻型轿车排放的BP神经网络模型,经验证,预测模型能较好地对一般轻型轿车排放结果进行定性预测,可以作为简易稳态工况法(ASM)尾气检测前的参考,对节约检测成本、提高一次检测通过率有着较高的实用价值;同时以南京市为例,研究了轻型汽油车行驶里程、使用年限等参数对排放的影响,为有针对性的维修治理提供可靠的依据。A model to evaluate the emissions of the light-duty cars is established in this issue, based on the theory of BP neural network. After testing, the prediction model is proved can be used in the emission qualitative prediction of the light-duty cars, and can be used as the reference of the ASM testing in advance, the model can also save the cost of the testing, and is rather practicable in the testing. At the same time, the main effects on the emission of the light-duty vehicles, such as the total mileage and the age of the vehicles, are also studied, in order to provide the reliable basis to the maintenance.

关 键 词：BP神经网络 轻型轿车 排放预测模型 应用 

分 类 号：U461.8[机械工程—车辆工程]