自组织特征映射(Self-organizing Feature Maps)网路(一般简称为SOFM或 SOM),是基于「竞争式学习的一种网路,也就是说输出层的类神经元们彼此
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Self-organizing Feature Maps 特征映射 ; 了自组织特征映射 ; 由于自组织映射
self-organizing feature maps som 自组织特征映射
Self-organizing feature maps network 自组织特征映射网络
Emergent Self-Organizing Feature Maps 涌现自组织特征映射
self-organizing feature maps algorithm 自组织特征映射算法
self organizing feature maps algorithm 自组织特征映射算法
self-organizing feature maps neural network 自组织特征映射神经网络
A method that applies the clustering function of SOFM (Self-Organizing Feature Maps) network is proposed for autonomous star pattern recognition.
介绍了一种利用自组织特征映射(SOFM)网络的聚类功能进行全天星图识别的方法。
An autonomous star pattern recognition method using the tri-star clustering function of SOFM (Self-Organizing Feature Maps) network is described.
介绍了一种利用SOFM(自组织特征映射)网络的聚类功能进行全天星图识别的算法。
To facilitate clustering analysis and visualization of data, the Emergent Self-Organizing Feature Maps (ESOM) and a boundless U-matrix are needed.
本文通过利用涌现自组织特征映射神经网络对数据进行聚类分析,并通过无边界u矩阵实现可视化功能。
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