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Application and evaluation of genetic programming for aimpoint selection

机译:Aimpoint选择遗传编程的应用与评估

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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:我们已经将遗传编程技术应用于从输入向量确定船舶目标。我们研究的问题减少以将多维输入向量映射到描述Aimpoint的一个坐标的单个实际输出。通过分割船舶的图像和流行空间平均值来获得多维输入载体。我们已经发现,遗传编程技术可用于提供解决问题的量化级别内输出的问题的解决方案。出于比较的目的,我们基于C4.5开发了人工神经网络和分类器解决方案。

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