用BP人工神经网络分类器进行识别，结果表明矩特征的识别率较高，说明该方法具有良好的应用效果。
The recognition with BP artificial neural net grader shows that the recognition rate of moment features is rather high, this indicates that this method has better applicable effect.
人工神经网络与气体传感器相结合，用于识别、分类、诊断和预测，将进一步提高气体检测系统的智能水平。
Artificial neural network together with gas sensors, which is applied to identification, classification, diagnosis and prediction, will further improve the intelligence of gas detection system.
利用人工神经网络与模糊集的理论和方法提出了诊断亚健康状态的一种分类器模型。
This paper, based on the theory and method of artificial nerve networks and fuzzy sets, puts forward a classifier model used for diagnosing the quasi-heath state.
该系统采用基于自组织神经网络分类器，其在线分类结果与人工配皮的一致性在84%以上。
The system adopts the neuro-network sorter based on self-organization. The consistence of the on-line sorting result with artificial sorting is above 84%.
其次，在解决工艺参数优化的问题中，本文提出了一种正演的方法，即结合使用决策树分类器以及人工神经网络进行综合分析的方法来完成。
Secondly, in solving the problem that the craft parameter is optimized, this paper has put forward a method to perform, which using decision tree and ANN carry on comprehensive.
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.
鉴于人脸识别问题的特殊性，将传统分类方法与人工神经网络方法结合起来，构造了一个混合分类器，从而极大地提高了识别率。
A hybrid classifier is formed by combining the traditional classification method with an artificial neural algorithm to significantly improve the rafe of recognition.
鉴于人脸识别问题的特殊性，将传统分类方法与人工神经网络方法结合起来，构造了一个混合分类器，从而极大地提高了识别率。
A hybrid classifier is formed by combining the traditional classification method with an artificial neural algorithm to significantly improve the rafe of recognition.
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