基于BP神经网络的交通标志识别

摘要

A traffic sign recognize model based on BP neural network classifier is proposed, while the neural network theory and neural network classifiers is discussed. Through a large number of experiments and comparison, a model with high recognition rate is obtained, which is applied to the traffic sign recognition system, so that the initial implementation of the system is carried out.%　　对神经网络理论和神经网络分类器进行了研究，提出了基于BP神经网络分类器的交通标志识别模型。通过大量实验和比较，得到了识别效率高的模型，并将这一模型应用到所研究的交通标志识别系统，从而对系统作了初步的实现。