文中从和谐理论神经网络派生一种新的神经网络模型，并以该模型为基础提出了一种新的并行分类算法。

This paper presents a parallel sorting algorithm based on neural network derived from the harmony theory neural network.

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本文重点介绍了两种基于并行算法的分类决策树的构造算法，并对它们的适用性及特点作了分析。

This paper introduces two construction algorithms of Classification decision tree based on parallel algorithm, and analyzes applicability.

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通过引入并行流分类算法说明了流分类算法的研究重点是减小存储空间和提高更新速度。

The presentation of parallel packet classification indicates how to reduce the storage space and update time is the research importance.

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