Target identification using neural nets and C4.5
А. Филиппидис · 2002
This paper addresses the application of linear prediction with the backpropagation neural network (BPNN) and C4.5 for distinguishing jet and propeller driven aircraft using Doppler spectra derived from a continuous-wave (CW) coherent (X band) radar. To verify the BPNN's and C4.5's classification of the data random noise was added to the Doppler data and results from both techniques compared.>