基于RFID和GRNN的景区人流量预测GIS的研究与设计

Scenic Flow of Tourists Prediction GIS Research and Design Based on RFID / GRNN

在分析无线射频识别(RFID)原理和广义回归神经网络(GRNN)模型的基础上,探讨了基于RFID的人流量统计方法,并重点研究了景区人流量短时预测方法,最后从实际应用出发建立了可对景区人流量进行实时预测的GIS决策系统。

Based on the analysis of Radio Frequency Identification （RFID） principle and the Generalized Regression Neural Network （GRNN） model, the paper discusses the statistical method of tourists flow based on RFID, and mainly focus on the short - term pre- diction method of tourists flow. Finally, from the view of practical application, the papers build up a GIS decision system for real - time prediction of tourists flow.