The application of BP neutral network optimized by genetic algorithm in transportation data fusion

Author

Sun, Xiaomei ; Yang, Zhaosheng ; Wang, Zhijian

Author_Institution

State Key Lab. of Automobile, Dynamic Simulation, Jilin Univ., Changchun, China

Volume

2

fYear

2010

fDate

27-29 March 2010

Firstpage

560

Lastpage

563

Abstract

BP neutral network is a method to fuse datas from several dissimilar sensors for more precise results, but its low convergence rate and easily falling into local minimum often decrease the fusion precision. In order to overcome this drawback, we combined BP neutral network with genetic algorithm, and optimized connection weights and threshold value of BP neutral network by genetic algorithm. Then the optimal BP neutral network was applied in transportation system for traffic volume fusion. Experiment result demonstrates that our method satisfied the real-time request of transportation system more effectively.

Keywords

backpropagation; genetic algorithms; neural nets; sensor fusion; traffic engineering computing; BP neutral network; genetic algorithm; traffic volume fusion; transportation data fusion; Automobiles; Convergence; Detectors; Educational institutions; Genetic algorithms; Telecommunication traffic; Traffic control; Transportation; Vehicle detection; Vehicle dynamics; BP neutral network; data fusion; genetic algorithm; transportation;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control (ICACC), 2010 2nd International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4244-5845-5

Type

conf

DOI

10.1109/ICACC.2010.5486702

Filename

5486702