DocumentCode
3501289
Title
The Application of Nerve Net Algorithm to Reduce Vehicle Weigh in Motion System Error
Author
RU, Qiu-sheng ; Yang, Yang ; Ning, Zong-qi ; Song, Tao
Author_Institution
Vocational Tech. Coll., Shanghai Univ. of Eng. Sci., Shanghai, China
Volume
2
fYear
2010
fDate
11-12 Nov. 2010
Firstpage
511
Lastpage
514
Abstract
In order to improve the Vehicle Weigh in Motion System with precision, the paper introduces Nerve Net Algorithm to error analysis. The article sets up a neural network model by determining the neural network input and output variables. Then, the function is defined by net training on MATLAB software. Finally through the experimental verification of Nerve Net Algorithm improving Weigh in Motion System accuracy is feasible.
Keywords
error analysis; neural nets; neurophysiology; road traffic; transportation; MATLAB software; error analysis; motion system error; nerve net algorithm; net training; neural network model; output variable; vehicle weigh reduction; Error; Nerve Net Algorithm; WIM; dynamic load; generalization; normalization; threshold; weight;
fLanguage
English
Publisher
ieee
Conference_Titel
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location
Haiko
Print_ISBN
978-1-4244-8683-0
Type
conf
DOI
10.1109/ICOIP.2010.129
Filename
5662402
Link To Document