DocumentCode :
2192696
Title :
Comparative Study between the Magic Formula and the Neural Network Tire Model Based on Genetic Algorithm
Author :
Long, Chen ; Chen, Huang
Author_Institution :
Sch. of Automobile & Traffic Eng., Jiangsu Univ., Zhenjiang, China
fYear :
2010
fDate :
2-4 April 2010
Firstpage :
280
Lastpage :
284
Abstract :
In this study, we will investigate and compare the performance of some appropriating methods for tyre force under combined representation of longitudinal and lateral force, which the appropriating methods performance has been introduced with two models: the Magic Formula and Artificial Neural Networks (ANN). The identification of the values of these two models parameters with starting up from a set of experimental available data, results quite difficult. The present work shows a genetic algorithm based methodology for the determination of these coefficients. After a description of the general genetic algorithm procedures, the applications to the case of the model of the tyre are presented. Moreover, we conducted a comparison based on actual date sets. The simulation results obtained have shown that ANN performed better than the other.
Keywords :
genetic algorithms; mechanical engineering computing; neural nets; tyres; artificial neural networks; genetic algorithm; magic formula; neural network tire model; Artificial neural networks; Automobiles; Biological system modeling; Genetic algorithms; Neural networks; Predictive models; Telecommunication traffic; Testing; Tires; Traffic control; Artificial; Magic Formula; Neural Networks (ANN); combined tyre force; genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on
Conference_Location :
Jinggangshan
Print_ISBN :
978-1-4244-6730-3
Electronic_ISBN :
978-1-4244-6743-3
Type :
conf
DOI :
10.1109/IITSI.2010.138
Filename :
5453624
Link To Document :
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