挂式资料套挂劳式设计，有多层分类标签使用。
Hanging File Cover hanging-cabinet design, multi-layer categorization labels available.
多层分类器； 垂直搜索引擎；计算机教育资源；朴素贝叶斯；
Multi-layer classifier Topic search engine Computer education resources Naive Bayes;
使用铺陈的方式(将内容分类，使用多层标题，用视觉线索和树状图)。
Use scannable layout (categorize the content, use multiple heading levels, use visual elements and bulleted lists which break the flow of uniform text blocks).
给出一种基于多层前馈神经网络的中文文本分类模型，介绍了该模型的设计和实现。
This paper presents a text categorization model based on multilayered feedforward neutral network, and introduces the design and implementation of this model.
提出了一种基于最小分类错误(MCE)训练的采用多层感知器(MLP)结构的模式分类器设计方法。
An improved design method on pattern classifier based on multi-layer perceptrons (MLP) by means of minimum classification error (MCE) training was proposed.
综述了多层电镀层的结构特点、腐蚀机理、镀层组合形成、分类及应用。
This article describes the structure characteristics, corrosion mechanism, classification and application of functional multilayer electrodeposits.
本文应用多层前馈神经网络和自组织特征映射神经网络分别对简单目标和复杂飞机目标进行了分类识别。
The classification of simple and complex objects is investigated using the multiple layer forward neural network and the self-organizing feature map network.
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.
为了优化用于故障分类的多层前馈网络结构配置，提出了一种基于模糊逻辑的优化方法。
In order to optimize the design of MLP network structure for fault classification, an optimum approach based on fuzzy logic is presented.
在将结肠镜图像分类为正常和异常图像时，选用了误差反传训练的多层感知器，结果显示这种网络神经元适合结肠镜图像分类。
The results show that the neural network is more appropriate for the classification of colon status. The new algorithm in this paper has been tested by a number of colonoscopic images.
摘要：综合考虑神经网络分类误差率以及训练速率，文中从组合分类器结构出发，提出一种树形多层的BP—LV Q神经网络组合分类器模型。
Absrtact: By considering the error rates and the training speed of neural networks, a hierarchical classifiers which is called as BP - LVQ neural network combination model is proposed in this paper.
然后利用多层感知器进行分类任务，从而识别出虚假交易。
The features of transaction were learned by DBN to get the higher level of abstract features, and the MLP performed the classification task.
应用三个多层前向网络（隐层神经元数、初始权值等取不同值） ，设计了基于分类确信度的多网络融合结构。
A multiple networks fusion structure is constructed by combining three multi layer forward propagation network that differ from the others in internal parameters such as the number of hidden …
应用三个多层前向网络（隐层神经元数、初始权值等取不同值） ，设计了基于分类确信度的多网络融合结构。
A multiple networks fusion structure is constructed by combining three multi layer forward propagation network that differ from the others in internal parameters such as the number of hidden …
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