海南师范大学学报：自然科学版2012，Vol.25Issue(4)：386-388,401,4.
基于模糊粗糙神经网络的交通流研究
Study of Traffic Flow Prediction Based on Fuzzy Rough Neural Network
刘琰1
作者信息
- 1. 濮阳职业技术学院网络中心,河南濮阳457000
- 折叠
摘要
Abstract
Traffic flow forecasting is the important content of scientific management of road traffic, in this paper, the basic principle of fuzzy rough neural network was summarized, the traffic flow control model was established based on the fuzzy rough neural network, two level coordination fuzzy controller was designed, and the fuzzy rough neural network was constructed by combination of the advantage of fuzzy control theory and neural network. Through the practice, the results show that, the algorithm has high precision, fast speed, strong adaptable ability and is of certain guiding significance for the real time traffic flow prediction.关键词
交通流预测/粗糙集理论/神经网络Key words
Traffic flow forecasting/Rough set theory/Neural network分类
信息技术与安全科学引用本文复制引用
刘琰..基于模糊粗糙神经网络的交通流研究[J].海南师范大学学报：自然科学版,2012,25(4):386-388,401,4.
