在计算机学习用户程序中，Hadoop已经作为处理大量GA个体的规模遗传算法的一种方法(潜在解决方案)。

In machine learning applications, Hadoop has been used as a way to scale genetic algorithms for processing large populations of GA individuals (potential solutions).

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本文采用潜在语义索引（LSI）和遗传算法（GA）进行文本特征提取。

This paper selects the features of text by using LSI and GA(Genetic Algorithm).

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结果表明，将神经网络和遗传算法用于结构损伤识别是有效的、可行的。

The results show that the NN and GA can be used in structural damage identification system effectively.

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