Title :
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
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;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5486702
