The kernel based weighted KNN algorithm solves the multi peak distribution problem and the overlap boundary problem of the sample set, as well as the classifier's precise decision problem.
基于核的距离加权KNN算法解决了样本的多峰分布、边界重叠问题和分类器的精确分类决策问题。
The present paper has discussed the overlap of each peak and revision method and given out calculating frame chart and results practically determined.
文章讨论了各峰重叠及修正方法，给出了计算框图及实际测定结果。
The peak overlap effect on measured results is studied and the calculating formulas of uncertainty are given.
研究了峰交叉对测量结果的影响，并给出各项不确定度分量的计算公式。
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