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.
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.
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.
为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。
In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.
实验结果表明，PSS算法及其并行化算法是一种高效的数据分类算法，尤其适用于解决海量数据库中的数据分类问题。
The test results show that the PSS algorithm as well as its parallel algorithms are high efficient when they are used in classification of massive database.
因此提出一种新的基于抽样的数据分类算法PSS，并提出三种PSS并行化算法AS，HS和VS算法。
So, a new sample-based classification algorithm, PSS, is proposed. AS, HS and VS algorithms which are parallel algorithms of PSS are presented also.
本文第三部分讨论了神经网络分类器的设计鉴于汽车识别问题的特性，充分利用神经网络的并行分布处理的特点，将神经网络算法用于汽车识别。
The third part of paper discusses the design of neural network group classifier, in view of speciality of vehicle recognition, neural network algorithms are applied to resolve the problem.
本文以网络处理器为硬件核心，结合提出的并行包分类算法，设计和实现了一个包分类引擎系统。
This paper designs and implements an engine system of packet classification applying the parallel classifying algorithm, in which network processor is the hardware core.
UCI数据集上的实验结果表明，算法能很快收敛，且分类精度优于并行下降算法和光滑支持向量机。
Experimental results on UCI dataset show Powell algorithm converges fast and its accuracy is higher than that of coordinate descent method and smooth SVM.
该算法将网络节点按层次进行分类，并分层并行计算各层次的功率损耗和节点电压，因而可大幅度提高配电网潮流的计算速度。
In this algorithm, the nodes of network are sorted by layers and the loss of voltage and power of speed of power flow can be increased greatly.
首先回顾了最短路径并行算法的国内外研究进展，对当前的最短路径并行算法进行分类。
The state-of-the-art of parallel shortest path algorithm at home and abroad is reviewed.
首先回顾了最短路径并行算法的国内外研究进展，对当前的最短路径并行算法进行分类。
The state-of-the-art of parallel shortest path algorithm at home and abroad is reviewed.
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