Fuzzy Learning Classifier System and its Application Research in Automatic Traffic Incident Detection

摘要：

According to the application of pattern classification, a fuzzy learning classifier system was described in detail, including its framework and each important module. Furthermore, the paper also designed the classifier encoding, fitness parameter definition, etc. Then this system was applied in automatic traffic incident detection using I-880 field data and compared with BP Network on the detection performance. The BP Network was improved with Levenberg-Marquardt method. The comparison result showed that the fuzzy learning classifier system designed in this paper had lower false detection rate and shorter detection time, which fit for the further field application.

作者: SHEN Xiaorong ZHANG Hai FAN Yaozu XU Chao

作者单位: Beijing University of Aeronautics and Astronautics, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）