It is proved that if the cost function is not zero after the algorithm converges, then all hidden units will move to the weighted cluster centers of sample inputs.

 
  • 主要结论包括:如果算法收敛后损失函数不为零,则各隐节点将位于样本输入的加权聚类中心;
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