In this paper, the new combination sample match method and error criterion switch algorithm using to discover the different form of mathematics model are presented.
文中提出了新的用于多种形式数学模型发现推理的组合模板匹配方法和误差判别切换算法。
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.
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.
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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