| 1. | Combining self - organizing feature map with support vector regression based on expert system
自组织映射算法与基于专家系统的支持向量回归的结合 |
| 2. | Improvement to color quantization based on self - organizing maps for computer graphics partition
一种用于计算机图形分离的自组织映射彩色量化方法 |
| 3. | Examples of clustering iris data and alerts in intrusion detection also proved the good performance of the ksom method
对iris数据集和入侵检测报警数据的聚类也证明了核自组织映射聚类方法的良好性能。 |
| 4. | The clustering result shows that the som method ran cluster the regional industrial structure into five categories in the output layer
结果表明，自组织映射的方法能够将地区产业结构在输出层聚成5个区域。 |
| 5. | We discussed some statistical feature extraction methods , and the application of assom neural network in feature extraction
我们研究了几种统计特征提取方法，和基于自适应子空间自组织映射( assom )神经网络提取字符的特征提取方法。 |
| 6. | The idea of kernel - based learning method is applied to self organizing map ( som ) clustering , and an algorithm of kernel self - organizing map ( ksom ) clustering is proposed
摘要将核学习的方法应用于自组织映射聚类中，提出了一种核自组织映射聚类算法。 |
| 7. | The experimental result shows that the ksom method can cluster the data with non - spherical shapes such as annular shape , and the cluster precision can reach 99 . 8864
实验结果表明，核自组织映射聚类对于非椭圆型的类分布数据，如环形数据，聚类正确率也能够达到99 . 8864 % 。 |
| 8. | In order to research the spatial distribution law of the regional industrial structure , the self organization maps method is used to cluster and analyze the regional data in china 2003
摘要为了研究地区产业结构的空间分布规律，采用自组织映射的聚类方法，对2003年中国省级地区的产业结构进行了聚类分析。 |
| 9. | This paper proposes a novel clustering algorithm based on a family of self - organizing feature map network according to the features of self - organizing feature map network . the algorithm is presented in detail in the paper . the simulated
结合自组织神经网络的特点,提出自组织映射网络族的概念,在该概念的基础上,提出一种新的基于自组织特征映射网络的聚类算法,详细阐述了算法步骤。 |
| 10. | In order to avoid matching the fault symptoms with the identification conditions artificially , ( fuzzy ) neural network was designed for diagnosis according to the optimal decision system . for the continuous quantitative diagnosis data such as the measurement , and the result of signal processing , a new hybrid system of self - organizing map ( som ) / fuzzy c - means ( fcm ) , rough sets theory , and adaptive neuro - fuzzy inference system ( anfis ) was presented . firstly , the continuous attributes in diagnosis decision system were discretized with som or fcm
对于连续的定量故障诊断数据(监测数据) ，以4135柴油机为例，提出了自组织映射( som )模糊c -均值( fcm ) ?粗糙集?自适应模糊神经网络推理系统( anfis )集成的具体故障诊断实施方案：首先，应用som或fcm离散故障诊断数据中的连续属性值；然后，基于粗糙集理论应用遗传算法计算诊断决策系统的约简，按照实际需要确定诊断条件；最后，根据系统约简设计anfis进行故障诊断。 |
