摘要
在全国统一的收费公路车辆通行费车型分类标准下,尝试利用一种神经模糊技术NEFCLASS模型对车型自动分类。通过模拟,表明这种方法对客车能较好地实现自动分类,对货车分类还需要更多的参数。
Based on the uniform standard for vehicle classification of the toll highway,this article tries to introduce one of neural fuzzy techniques—_NEFCLASS to automatic vehicle classification.The test shows that NEFCLASS can classify cars perfectly,but it needs more parameters in order to classify trucks accurately.
出处
《山西交通科技》
2003年第A02期127-129,共3页
Shanxi Science & Technology of Transportation
关键词
收费
系统
车型
自动
分类
神经
模糊
技术
toll collection
system
vehicle
automation
classification
neuron
fuzziness
technique
