用神经元网络识别仿射变换下的飞机模型

Classification of Aircrafts Under Affine Transformation Using a Neural Network

本文推广了付立叶描绘矛的方法,产生了一组在任意仿射变换下都不改变的不变量,用这些不变量来训练一个三层网感知器对飞机模型进行识别和分类.在本文中我们引进了一个加速算法可以大大减少学习时间.最后,给出了用这个神经网分类器进行识别和分类的结果及其抗噪声性能.

In this work, a neural network approach [for the classification of aircrafts under affine transformation is described. The method of Fourier transformation has been extended to produce a set of normalized invariants which are independent of the affine transformation and the starting point. A threelayer perceptron is trained with these invariants using backpropagation. By adopting an accelerated learning algorithm, the learning time can be reduced greatly. Typical results of the classification of aircrafts and a good performance of noise tolerance are presented.