This paper gives an analysis of the three methods of incremental loss calculation for power systems and the relations between them.

本文分析了计算电力系统网损微增率的三种方法及它们之间的相互关系。

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Then in allusion to these two important factors, a concept of incremental learning and a loss extent parameter are put forward in this paper, and Native Bayesian Classification.

文中针对该算法这两个最主要的缺陷，提出增量学习概念，引入损失幅度参数，改进和完善朴素贝叶斯分类算法。

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The higher quality results translate to a direct reduction of in-process repairs, as well as an incremental reduction in scrapped components and associated material loss.

质量的提高表现在生产过程中返修品的直接减少，报废件和相关材料损失的减少。

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The higher quality results translate to a direct reduction of in-process repairs, as well as an incremental reduction in scrapped components and associated material loss.

质量的提高表现在生产过程中返修品的直接减少，报废件和相关材料损失的减少。

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