This paper proposes an efficient algorithm for constructing decision tree and then mapping it to neural net.

本文提出一个有效的算法，先构造决策树，然后将构造的决策树转换为神经网。

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First, the article discusses the basic ideas of current FUP algorithm, then improves it on this basis, proposes an enhanced FUP algorithm EFUP, and presents the concrete process.

首先，该文讨论了现有的FUP算法的基本思想，然后在此基础上对其进行改进，提出了改进的FUP算法EFUP，给出了具体实现方法。

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First, the article discusses the basic ideas of current FUP algorithm, then improves it on this basis, proposes an enhanced FUP algorithm EFUP, and presents the concrete process.

首先，该文讨论了现有的FUP算法的基本思想，然后在此基础上对其进行改进，提出了改进的FUP算法EFUP，给出了具体实现方法。

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