SOM network; brake; visualization; fault diagnosis;
SOM网络；制动器；可视化；故障诊断；
PNN network; LVQ network; SOM network; the non-asbestos gaskets; classification;
PNN神经网络；LVQ神经网络；SOM神经网络；非石棉垫片； 分类；
In hydrocarbon prediction, BP network is combined with SOM network to form the multiparameter hydrocarbon prediction system.
油气预测是将BP网络和SOM网络联合起来，组成一个预测系统进行多参数油气预测。
By using hierarchical pattern recognition with much SOM network, the identification effect of boiler pollution mode is improved, and the accurate locations can be acquired.
采用多个SOM网络逐级模式识别方案，有效地提高了锅炉污染模式识别效果，并可以确定发生污染的具体部位。
Secondly, the anomaly detection model based on K-means algorithm and SOM network is constructed. It can classify the normal and abnormal network data stream so better to detect the unknown attack.
提出了一种k-均值聚类算法和SOM自组织神经网络算法相结合的异常检测模型，使得系统可以更好的分类正常数据流和异常数据流，以此来防范未知的攻击。
This paper analyzes 2 critical problems in FPGA-based implementation of SOM neural network algorithm: parallelizability and finite word-length effect.
分析了SOM神经网络算法在FPGA实现过程中要考虑的2个主要问题：并行性和有限字长效应。
Aiming at the real time ability of TV guide missile target establishing, in this paper the new method is established based on SOM-BP artificial neural network.
为了解决图像制导导弹目标识别实时性的问题，给出了基于SOM -BP人工神经网络方法。
The BP neural network combines with the SOM neural networks to form a intrusion detection learning model with relatively complete function.
将BP神经网络和SOM神经网络结合起来，组建功能相对完善的入侵检测学习模型。
Self organizing feature map (SOM) network can extract the internal features of parameter by self organizing and reflect them on the classified map. It can be used in problems of pattern recognition.
自组织特征映射(SOM)神经网络能通过自组织有效地提取出各特征参数间的内在特征并映射到分类模板上，它可以用于各种模式识别问题。
Key attributes are used as inputs for learning by SOM neural network so as to obtain better clustering quality.
将关键属性作为SOM神经模型的输入，提高客户细分质量。
Key attributes are used as inputs for learning by SOM neural network so as to obtain better clustering quality.
将关键属性作为SOM神经模型的输入，提高客户细分质量。
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