This paper mainly proposes an algorithm that the speedy constringency classifier of neural networks and proposes a system model of online modulation recognition.
提出了一种在线进行调制识别的系统模型，并给出一种基于神经网络的快速收敛分类器算法。
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网络或神经网络等技术使用表达能力非常强的模型，力求生成无偏向的分类器来“描述”文档集。
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.
采用信号四阶和六阶统计量提取信号特征，使用新设计的误差函数训练RBF神经网络，使得识别的效率和正确度得到了明显的改善。
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。
Because neural networks have a very strong ability in pattern recognition, an NN classifier is used in the multi-parameter recognition of fault signals.
充分利用了神经网络极强的模式分类能力，用神经网分类器对故障信号进行多参量识别。
Because neural networks have a very strong ability in pattern recognition, an NN classifier is used in the multi-parameter recognition of fault signals.
充分利用了神经网络极强的模式分类能力，用神经网分类器对故障信号进行多参量识别。
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