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Application and evaluation of genetic programming for aimpoint selection

机译:遗传规划在目标选择中的应用与评估

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摘要

We have applied Genetic Programming techniques to the determination of ship aimpoints from an input vector. The problem we have studied reduces to mapping a multidimensional input vector to a single real output describing one coordinate of the aimpoint. The multidimensional input vector is obtained by segmenting an image of the ship and perfomring spatial averages. We have found that Genetic Programming techniques can be used to provide a solution to the problem which maps the inputs to the outputs within the quantization level of the problem. For purposes of comparison we have developed artificial neural network and classifier solutions to the same problem based upon C4.5.
机译:我们已将遗传编程技术应用于从输入向量确定船舶目标点的过程。我们研究的问题减少到将多维输入向量映射到描述目标点一个坐标的单个实际输出。多维输入向量是通过分割船舶图像并进行空间平均值计算而获得的。我们已经发现,遗传编程技术可用于提供问题的解决方案,将问题的量化级别内的输入映射到输出。为了进行比较,我们针对C4.5开发了针对同一问题的人工神经网络和分类器解决方案。

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