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。
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。
This paper presents a training algorithm for probabilistic neural networks using the MCE criterion.
特征提取的目的是获取特征数目少且分类错误概率小的特征向量。
The purpose of feature extraction is to obtain feature vectors of few number and low error probability.
特征提取的目的是获取特征数目少且分类错误概率小的特征向量。
The purpose of feature extraction is to obtain feature vectors of few number and low error probability.
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