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Using neural network models to recognize (including identify and classify) target is the object of the thesis. Several neural network models are applied based on their characteristics. We also discuss the performance and application of each model. In the thesis, sinogram and depolarization factor are used as features for radar target classification in the numerical and experimental studies. From the results given in this thesis, neural networks are demonstrated to be suitable to the problem of pattern recognition.
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