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A method of on-line fast identification for the chaos in traffic flow

ZHANG Yong,HE Guo-guang(College of Management,Tianjin University,Tianjin 300072,China)  
The chaos and non-chaos traffic flow are multi-scale decomposed,the results indicate that different category sequence have different structure in high frequency coefficient.Using this difference one method of identification for the chaos traffic flow based history information is put forward.The experimental result indicates that the new identification method can use fewer samples than traditional method and the recognition rate is high.This method is also suitable for identification for chaos of other definite system.
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