In addition, the Nonlinear ADF is further optimized using Minimum Classification Error criterion.

同时，基于最小分类错误准则对该函数进行了优化。

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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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Minimum Classification Error (MCE) criterion based sub-words weighting parameters estimation algorithm is proposed in which the sub-word weighting parameters are derived by the MCE training.

本文提出了一种基于最小分类错误准则(MCE)的子词权重参数估计算法，通过MCE训练得到子词的权重系数。

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