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基于ANFIS交通流实时预测及在MATLAB中的实现
引用本文:张志红 韩直 肖盛燮 常贵智 甘守武. 基于ANFIS交通流实时预测及在MATLAB中的实现[J]. 重庆交通学院学报, 2007, 26(3): 112-115
作者姓名:张志红 韩直 肖盛燮 常贵智 甘守武
作者单位:重庆交通大学 重庆400074
基金项目:广州龙头山特大断面隧道节能技术研究项目(28-DEC-2006)
摘    要:分析了模糊推理预测模型和神经网络预测模型在交通流实时预测中的优缺点,采用ANFIS预测模型将二者结合起来,发挥两个模型各自的优势,弥补彼此的不足,通过预测结果表明该模型能够更直观、更精确地对交通流进行实时预测.

关 键 词:模糊推理预测模型  神经网络预测模型  ANFIS预测模型  MATLAB软件
文章编号:1001-716X(2007)03-0112-04
修稿时间:2006-03-182006-03-27

Real-time Forecast of Traffic Flow Based on ANFIS and Its Realization by MATLAB
ZHANG Zhi-hong, HAN Zhi, XIAO Sheng-xie, CHANG Gui-zhi, GAN Shou-wu. Real-time Forecast of Traffic Flow Based on ANFIS and Its Realization by MATLAB[J]. Journal of Chongqing Jiaotong University, 2007, 26(3): 112-115
Authors:ZHANG Zhi-hong   HAN Zhi   XIAO Sheng-xie   CHANG Gui-zhi   GAN Shou-wu
Affiliation:Chongqing Jiaotong University, Chongqing 400074, China
Abstract:By analyses of the advantages and limitations of the fuzzy inference-forecast model and the neural network forecast model,the ANFIS forecast model was applyed to combinging the two models,exerting their advantages and fetching up their limitations each other.And the conclusion is demonstrated that the ANFIS forecast model can predict the traffic flow more intuitionally and more precisely.
Keywords:fuzzy inference-forecast model  neural network forecast model  ANFIS forecast model  MATLAB software
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