实验表明，本文树形结构的车辆识别方法在识别率和识别速度上优于级联分类器，具有较好的实时性和一定的鲁棒性。
Experimental results show that the tree structure classifier is better than cascade classifier in both detection accuracy and computational efficiency.
摘要：综合考虑神经网络分类误差率以及训练速率，文中从组合分类器结构出发，提出一种树形多层的BP—LV Q神经网络组合分类器模型。
Absrtact: By considering the error rates and the training speed of neural networks, a hierarchical classifiers which is called as BP - LVQ neural network combination model is proposed in this paper.
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