1) quantum self-organization feature mapping networks
量子自组织特征映射网络
1.
A quantum self-organization feature mapping networks and clustering algorithm;
一种量子自组织特征映射网络模型及聚类算法
2) 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。
3) 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。
4) self-organizing map
自组织特征映射网络
1.
Self-organizing map have the characteristic of Topologically Consistency and Vector Quantization.
自组织特征映射网络由Teuvo Kohonen教授在20世纪80年代提出,它是模拟脑细胞的这种自组织特性来实现聚类,识别,排序等。
5) self-organizing feature maps(SOFM)network
自组织特征映射(SOFM)网络
补充资料：单量子阱(见量子阱)
单量子阱(见量子阱)
single quantum well
单且子阱sillgle quantum well见量子阱。
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