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通过对高维空间中超弦角(Hyper-Chord Angle)的定义,引出一种高维最小球覆盖的几何算法.结合 RBF神经元和优先度排序网络,高维最小球覆盖算法可以有效解决模式识别中若干类样本的分类问题.超弦角的定义也为其他高维空间几何问题的研究提供新思路.
Through the definition of Hyper-Chord Angle in high-dimensional space, a high-dimensional minimum sphere covering geometric algorithm is derived.With RBF neuron and priority ordering network, the high dimensional minimum sphere covering algorithm can effectively solve the pattern recognition In the classification of several types of samples.The definition of superstring also provides new ideas for the study of other high-dimensional space geometry.