Methods to establish an appropriate error criterion are presented.
同时还提出确定一种适当的误差标准的方法。
The estimators, m and b, that satisfy the least-squared-error criterion can be found in two basic ways.
可以用两种基本方法来找到满足最小方差法的估计值m和b。
This paper presents an efficient training algorithm for probabilistic neural networks using the minimum classification error criterion.
提出了一种基于最小分类错误准则的概率神经网络的训练算法。
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