基于BP神经网络的旅游景区预警系统设计-R实现

Design of-R based on BP neural network for the design of tourist attractions early warning system

采用BP神经网络技术作为设计基础,设计了旅游景区安全预警系统模型。模型预警影响指标包括人员指标、行政指标和环境指标三大类共九项。在模型基础上,进行了以R为实现语言的模型实验,实验结果表明,模型精度良好。

By using BP neural network technology as a design basis, tourist destinations security early warning system model is designed. Model of early warning indicators including people, administration and environmental three categories, a total of nine. Based on the model, with the implementation language of R model experiment was carried out, the experimental results show that the model precision is good.