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。
This paper proposes a direct search algorithm for global optimization and multi-peak searching of functions with boundary constraints.
针对边界约束函数全局最优化和多峰寻优问题，提出一种直接搜索算法。
The height of the Ke peak is independent of the grain size while that of this peak is proportional to the number of the bamboo boundary containing in the specimen.
例如，葛峰的高度不随晶粒尺寸而变，而竹节峰的高度则与试样中所含的竹节晶界的数目成正比。
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