对前向神经网络交叉覆盖算法进行了分析，在此基础上提出了一种改进的交叉覆盖神经网络模型，并给出其算法。
Present an ameliorating model of the alternative covering design of multilayer neural networks based on the analysis of the alternative covering design algorithm and give the steps of the algorithm.
本文利用前向神经网络的交叉覆盖算法，通过对文本进行分词的预处理后，实现文本的自动分类。
Based on the Crossing Cover Algorithm of forward neural network, this paper realizes the automatic classification of texts after the preprocessing of the texts.
文章提出了一种应用人工神经网络进行入侵检测分类器设计的新方法，即采用多层前向网络的交叉覆盖算法进行入侵检测分类器的设计。
A new method of designing the classifier for intrusion detection is proposed based on neural networks, which is the alternative covering algorithm of multi-layer neural networks.
文中介绍了目前使用的几种不同的人工神经网络设计算法：BP算法、FP算法、多层前向网络的交叉覆盖设计算法。
The thesis introduces some ANN design algorithms, which are BP algorithm, FP algorithm, alternative covering design algorithm of multi-layer neural networks.
通过对前向神经网络交叉覆盖算法的分析，针对该算法的特点，文中提出了扩大覆盖半径以减少拒识样本数据的新方法。
Based on CHI value feature selection and the cover algorithm of forward neural network, realizes the automatic classification of texts after the preprocessing of the texts.
通过对前向神经网络交叉覆盖算法的分析，针对该算法的特点，文中提出了扩大覆盖半径以减少拒识样本数据的新方法。
Based on CHI value feature selection and the cover algorithm of forward neural network, realizes the automatic classification of texts after the preprocessing of the texts.
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