A hybrid genetic/BP algorithm and its application for radar target classification

In this paper, a general purposed real valued genetic algorithm model is presented. For the training of neural networks, the hybrid algorithm integrates the real valued algorithm with the well known BP algorithm. It is used to the training of a feedforward neural networks for radar target classification based on 1-D range profile. 50 range profile samples from the real radar data of each of the three aircrafts are used to train the neural network and another 50 range profile samples are used to test the classification performance. The proposed method can also be used to other optimization problems.