The SOFM algorithm based on a neural network and an improved algorithm have a good effect on space compression of hyperspectral remote sensing images.
基于神经网络的SOFM算法及其改进算法取得较好的空间压缩效果，实现了对高光谱遥感图像的有效压缩。
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。
The sample classification of abdomen MRI is carried out by the combining method of SOFM Neural network and doctors diagnosis.
将SOFM神经网络与医师诊断相结合对腹部MRI进行样本分类，并利用判别分析方法对肝硬化进行图像识别。
Nine major kinds of fault in electrical source system of surface-to-air missile have been diagnosed respectively through BP and SOFM neural network, and pleasing results are obtained.
针对地空导弹电源系统的九种主要故障，分别用BP神经网络和SOFM神经网络对其进行了故障诊断，均取得了较好的效果。
The characteristics of SOFM neural network is analysed and compared with the feature of Vector Quantizing problem in this paper. Based on this an algorithm for Vector Quantizing is put forward.
对自组织特征映射神经网络的特性进行分析，并将其与矢量量化问题的实质进行比较，提出了一个实现矢量量化的自组织特征映射算法。
The self-organizing feature map (SOFM) uses weight of network to present structure of the input data and has preferable ability of classification.
自组织特征映射（SOFM）网络利用神经元权值向量表示输入数据的结构、具有较好的分类能力。
An image fusion binarization method based on Selforganization Feature Map (SOFM) neural network is presented.
提出了一种基于自组织特征映射(SOFM)神经网络的图像融合二值化方法。
An image fusion binarization method based on Selforganization Feature Map (SOFM) neural network is presented.
提出了一种基于自组织特征映射(SOFM)神经网络的图像融合二值化方法。
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