TY - GEN
T1 - Use support vector machine to evaluate the operational effectiveness of radar jammer
AU - Jiang, Shouda
AU - Lin, Lianlei
PY - 2007
Y1 - 2007
N2 - To the operational effectiveness evaluation of radar jammer, a general evaluation idea was given. The evaluation problem was converted to a multi-class classification problem of Support Vector Machine (SVM), and the evaluation method was proposed based on C-SVM classifier. RBF (Radial Basis Function) was selected as kernel and cross-validation techniques were used for parameter optimization. Finally, a simulation experiment was implemented, and the results show that this method is simple and effective.
AB - To the operational effectiveness evaluation of radar jammer, a general evaluation idea was given. The evaluation problem was converted to a multi-class classification problem of Support Vector Machine (SVM), and the evaluation method was proposed based on C-SVM classifier. RBF (Radial Basis Function) was selected as kernel and cross-validation techniques were used for parameter optimization. Finally, a simulation experiment was implemented, and the results show that this method is simple and effective.
UR - https://www.scopus.com/pages/publications/39049172818
U2 - 10.1109/ICICIC.2007.610
DO - 10.1109/ICICIC.2007.610
M3 - 会议稿件
AN - SCOPUS:39049172818
SN - 0769528821
SN - 9780769528823
T3 - Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
BT - Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
PB - IEEE Computer Society
T2 - 2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
Y2 - 5 September 2007 through 7 September 2007
ER -