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
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;
Conference_Titel :
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location :
Haiko
Print_ISBN :
978-1-4244-8683-0
DOI :
10.1109/ICOIP.2010.129
