基于BP神经网络的旅游交通安全评价分析研究

Analysis and Research on Safety Evaluation of Tour Traffic Based on BP Neural Network

阐述了BP神经网络的基本理论、算法、缺陷及改进方法,通过实例对旅游交通安全进行研究。选择合适的学习样本及参数进行训练,并获得较好的评价结果,为游客的旅游安全及相关部门的管理者提供了理论依据。

The paper expounds the basic theory, algorithm, disfigurement and improving methods of BP neural network. It studies the safety about tour traffic through an example, chooses the suitable study sample and parameters to train, receives better evaluation results, and provides theoretical basis for the tour safety of tourists and the managers of relevant sectors.