TY - GEN
T1 - Fuzzy learning classifier system and its application research in automatic traffic incident detection
AU - Shen, Xiaorong
AU - Zhang, Hai
AU - Fan, Yaozu
AU - Xu, Chao
PY - 2007
Y1 - 2007
N2 - 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 1-880 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.
AB - 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 1-880 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.
UR - https://www.scopus.com/pages/publications/35248837452
U2 - 10.1109/ICIEA.2007.4318511
DO - 10.1109/ICIEA.2007.4318511
M3 - 会议稿件
AN - SCOPUS:35248837452
SN - 1424407370
SN - 9781424407378
T3 - ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications
SP - 769
EP - 772
BT - ICIEA 2007
T2 - 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007
Y2 - 23 May 2007 through 25 May 2007
ER -