1) self-organizing map
自组织映射网络
1.
Peak load forecasting using the self-organizing map;
基于自组织映射网络的峰值负荷预测方法
2.
The method uses a self-organizing map to obtain the class label for each training sample and enhanced Fisher linear discriminant(EFM) to find the optimal projection for pattern classification,and a Gaussian distribution to model the class-conditional density function of the projected samples for each class.
该方法首先使用自组织映射网络为每个训练样本确立类别标签 ,然后用改进的 Fisher线性判别模型对所有样本进行投影以尽可能拉大各类之间的距离 ,最后使用高斯分布对每类样本进行建模 。
2) SOM
自组织映射网络
1.
Propose a new self- organizing neural model that performs anomaly detection of HTTP tunnelling activities; discuss the fea- tures of HTTP connections, the optimization of SOM training, and the reduction of false- positive/false- negative.
基于自组织映射网络聚类算法,提出HTTP隧道攻击异常检测模型,讨论HTTP连接样本特征、SOM网络分步优化训练、漏报与误报率的平衡等问题,实现模型并对检测结果进行验证,结果表明系统较好地识别了正常HTTP连接和HTTP隧道连接,漏报/误报率达到最佳平衡。
2.
Research on RSOM Algorithm and Its Application;
为了克服这些困难,在Kohonen自组织映射模型(SOM)的基础上,提出了两种基于类别可分性判据RSOM分类树:非结构自适应的RSOM Ⅰ分类树与基于奇异值分解方法的结构自适应RSOM Ⅱ分类树,这两种分类树的每个节点由拓扑有序的自组织映射网络组成。
3) self-organizing feature map
自组织映射网络
1.
In order to distinguish the faults of flight actuator efficiently and make the pilot be able to solve these faults in time,a method based on Learning Vector Quantization algorithm of self-organizing feature map is proposed.
为了对飞行作动器的故障进行有效辨识,使飞行员能够在更短时间内对故障进行处理,提出了基于自组织映射神经网络的学习向量量化算法;使用此方法在大步长采样下对飞行作动器的卡死和损伤故障进行训练和辨识,并尝试运用小波包技术分解小步长采样数据,结合自组织映射网络对分解后的数据进行分析;检验结果表明,大步长采样下,检测和分类效果令人满意,且具有良好的网络的泛化能力,而在小步长采样下,自组织映射网络不能有效区分故障类型,识别失败。
4) Self-organizing Feature Map
自组织特征映射网络
1.
Application of Self-organizing Feature Map in water quality classification;
自组织特征映射网络在水质分类中的应用
2.
The application of Self-Organizing feature Map in ships Radar Target Recognition;
自组织特征映射网络在船舶雷达目标识别中的应用
3.
A rule induction model based on self-organizing feature map (SOFM) and genetic algorithm is proposed for quantitative data.
提出一种基于自组织特征映射网络(SOFM)和遗传算法的定量数据规则提取模型。
5) self-organizing feature map neural network
自组织映射神经网络
1.
In order to improve recognition probability and decrease recognition time of the classifier of modulation recognition,and to make it adaptive,the self-organizing feature map neural network(SOM) was used as the classifier of modulation recognition,applying its property of self-organizing and adaptation to adapt automatically variety of the signal to noise ratio.
为了提高调制方式识别分类器算法的正确识别概率和缩短识别时间,使其有自适应能力,利用自组织映射神经网络自组织、自适应的特点,提出采用自组织映射神经网络作为调制方式中的分类器,以自适应于信噪比的变化。
6) self-organizing feature map network
自组织特征映射网络
1.
In this paper, we put forward the cross location algorithm which is based on the Self-Organizing Feature Map Network (SOFM).
本文提出一种基于自组织特征映射网络(SOFM)的多站定位算法,模拟仿真结果表明该算法具有运算量小、定位性能好的特点,具有工程可应用性。
补充资料：自调自净自度
【自调自净自度】
（术语）同自调项。
（术语）同自调项。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条