摘要
本文分析了现代汽车故障诊断的特点,说明了用融合技术进行汽车故障诊断的优势,构建了基于BP神经网络的信息融合结构,用以汽车故障诊断,提高了汽车故障诊断效率和准确性。
This article analyses the characteristics of faulty diagnosis of modem automobile,and states the advantage of information blending method used in faulty diagnosis of automobile. It forms information blending structures with neural network , by which the efficiency and veracity are improved.
出处
《辽宁省交通高等专科学校学报》
2005年第4期36-37,共2页
Journal of Liaoning Provincial College of Communications
关键词
汽车
故障诊断
信息融合
神经网络
automobile
faulty diagnosis
information blending
neural network
