BP神经网络在车辆类型识别系统中的应用

Application of BP neural networks in the vehicle type discrimination system

介绍了基于BP及其改进算法的多层神经网络的学习训练方法,阐述了噪声测量法识别车辆类型的系统原理和方法。实践证明,基于BP神经网络的噪声测量方法能够快速、准确、有效地识别汽车车辆类型。

The learning and training method based on artificial neural networks and a discrimination system for vehicle type using the noise principle and method are presented,there by providing a good basis and means for vehicle＇s traffic management, monitoring statistics.