• Tongue color automatic classification, based on LVQ neural networks classifier, is proposed in this paper.

    本文基于学习矢量量化(LVQ神经网络分类器,实现了分析中的、苔色自动分类

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  • Techniques such as Bayesian networks or neural networks use highly expressive models, which try to produce a non-biased classifier in order to "describe" a corpus of documents.

    Bayesian网络神经网络技术使用表达能力非常强模型,力求生成偏向的分类器描述”文档集。

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  • This paper mainly proposes an algorithm that the speedy constringency classifier of neural networks and proposes a system model of online modulation recognition.

    提出在线进行调制识别系统模型给出基于神经网络快速收敛分类器算法

    youdao

  • Usually image recognition based on neural networks needs feature extraction, and then the features extracted are delivered to the neural network classifier.

    神经网络用于图像识别一般都提取图像特征然后提取好的图像特征送入神经网络识别器进行识别

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  • The forth-order and sixth-order cumulants of received signal are adopted for features extraction while RBF neural networks with a new designed training cost function being used for classifier.

    采用信号四统计量提取信号特征,使用设计的误差函数训练RBF神经网络,使得识别的效率正确度得到了明显的改善。

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  • In the method, those single BP neural networks which have been trained solely are integrated averagely in order to build up the tongue coat classifier.

    方法单独训练具有一定差异度的单个BP神经网络加以集成,构成舌苔分类器

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  • 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.

    文章提出一种应用人工神经网络进行入侵检测分类设计方法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。

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  • Because neural networks have a very strong ability in pattern recognition, an NN classifier is used in the multi-parameter recognition of fault signals.

    充分利用神经网络极强模式分类能力神经网分类器对故障信号进行多参量识别

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  • Because neural networks have a very strong ability in pattern recognition, an NN classifier is used in the multi-parameter recognition of fault signals.

    充分利用神经网络极强模式分类能力神经网分类器对故障信号进行多参量识别

    youdao

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