Evolutionary design of neural network classifiers for radar target recognition

An automatic method of designing classifiers for radar target recognition by the range profiles is proposed. The classifiers are made of feedforward neural networks whose topology and weight distributions are evolved by a hybrid evolutionary algorithm.