TY - GEN
T1 - Application of improved FCM on classification of multi-target guided by AWACS
AU - Zhang, Kun
AU - Zhou, Deyun
PY - 2008
Y1 - 2008
N2 - An improved FCM (Fuzzy C-means) algorithm is applied to classify the multi-target in the air combat, and divides them into several colonies averagely according to the simulation in different targets compared to traditional FCM algorithm. Meanwhile, this method reduces the computational complexity, and raises the operating speed by considering multi -target as a whole. Finally, multi-target colonies mathematical model has been established, the simulation result indicates that this improved algorithm is reasonable and effective.
AB - An improved FCM (Fuzzy C-means) algorithm is applied to classify the multi-target in the air combat, and divides them into several colonies averagely according to the simulation in different targets compared to traditional FCM algorithm. Meanwhile, this method reduces the computational complexity, and raises the operating speed by considering multi -target as a whole. Finally, multi-target colonies mathematical model has been established, the simulation result indicates that this improved algorithm is reasonable and effective.
UR - http://www.scopus.com/inward/record.url?scp=58149122593&partnerID=8YFLogxK
U2 - 10.1109/FSKD.2008.231
DO - 10.1109/FSKD.2008.231
M3 - 会议稿件
AN - SCOPUS:58149122593
SN - 9780769533056
T3 - Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
SP - 47
EP - 51
BT - Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
T2 - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
Y2 - 18 October 2008 through 20 October 2008
ER -