为了提高遥感影像分类精度，从抽象级和测量级的两个层次出发，提出混合多分类器结合算法。
To enhance the accuracy of image classification, proposed hybrid multiple classifier combination method from abstract level and measurement level.
本文从分类质量和等价类这两个层次上各提出了一个属性约简算法。
This article proposes two attribute reduction algorithms from the classification quality level and equivalent level.
该文针对中文科技论文文本特殊的文体格式和语言风格进行了系统地研究，并提出了基于层次分类模型的文本分类算法。
In this paper, we construct firstly the interval estimates of variance components in the two-way model, depending on corresponding sums of squares from the analysis of variance.
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.
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.
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