Dynamic traveling vehicle length measurement based on fuzzy adaptive of BP neural network

被引：0
|
作者：
Li, Shou-Tao [1 ]
Tian, Wei [1 ]
Guo, Peng-Cheng [1 ]
Ma, Yong-Xue [1 ]
Zhang, Hao [2 ]
Wang, Nan [3 ]
机构：
[1] College of Communication Engineering, Jilin University, Changchun,130022, China
[2] College of Computer Science and Technology, Jilin University, Changchun,130012, China
[3] College of Automotive Engineering, Jilin University, Changchun,130022, China
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2015年 / 45卷 / 06期
关键词：
Automation - Fuzzy neural networks - Learning algorithms - Adaptive control systems - Fuzzy inference;
D O I：
10.13229/j.cnki.jdxbgxb201506023
中图分类号：
学科分类号：
摘要：
Based on the analysis of large number of measured data obtained from a free toll lane of highway detection system and experimental research, a vehicle length measurement method is proposed based on BP neural network, which can measure the length when the vehicle is traveling. This method can accelerate the convergent speed of BP neural network by fuzzy adaptively adjusting the learning rate of BP neural network. A large number of real vehicle data have been obtained after this method was applied to the detection system in the highway toll lane of Lalin River, an exit of Jilin Province to Heilongjiang Province. The results show that the proposed method of dynamic vehicle length measurement can effectively improve the measuring precision of traveling vehicles. ©, 2015, Editorial Board of Jilin University. All right reserved.
引用
收藏
页码：1881 / 1886
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