Fuzzy Support Vector Machines Based Recognition for Aeroplane Flight Action
Shousheng Xie · Acta Aeronautica Et Astronautica Sinica · 2005
With the traditional SVMs' two-class problems extending to the multi-class problems,the unclassifiable regions exist.Flight action recognition is proposed in this paper based on the fuzzy support vector Machines(FSVMs).Six kinds of recorded flight data of flight action are recognized by FSVMs.Simulation results show that the improved FSVMs has characteristics of simpler calculation and better testing correctness than the traditional SVMs approach.