搜索资源列表
mysomfuzzy
- 模糊SOM神经网络，将模糊集理论和SOM神经网络的结合，用于聚类，产生良好效果。-Fuzzy SOM neural network,the combination of fuzzy set theory and SOM neural network ，for clustering to produce good results.
SOM
- SOM 聚类分析应用，神经网络30案例应用的例程。有详细说明用法-SOM clustering analysis application with the book called 30 neural network application. very useful with details
SOM
- VC++实现神经网络SOM（自组织特征映射网）-VC++ Realization of neural network SOM (self-organizing feature map network)
lvq
- lvq méthode indexation basé sur le som clustering
som
- based text clustering algorithm, has a detailed analysis and examples
Som_clustering
- 基于VC++的Som聚类算法程序。SOM是一种通过自组织竞争学习网络实现数据的分类和降维可视化神经网络模型。内附算法的原理说明以及详细的程序调用说明及运算结果。是初学者的很好的入门材料-Based on VC++ program of Som clustering algorithm. SOM is a competitive learning through self-organizing network for data classification and dimensionality r
rbfbysom
- an rbf matlab file that uses som for clustering
LetterClustring
- this a matlab code for clustering.it s name is SOM-this is a matlab code for clustering.it s name is SOM
som
- 自组织特征映射神经网络，实现聚类分类功能-Self-organizing feature map neural network, to achieve clustering classification
SOMm1
- This SOM clustering source code -This is SOM clustering source code
SOM
- 利用VC++6.0实现SOM神经网络，简单对数据进行聚类-VC 6.0 SOM neural network, a simple clustering of the data
som_antconc_results
- 聚类是对数据对象进行划分的一种过程，与分类不同的是，它所划分的类是未知的，这是一个“无指导的学习” 过程，本文件采用基于MATLAB GUI 编写了SOM的神经网络语料聚类分析-Corpus clustering of the SOM-based neural network analysis
SKohonen
- 有监督SOM网络，克服了无监督SOM聚类不准确的问题-The supervised SOM network, to overcome the unsupervised SOM clustering inaccurate
dastebandi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
estekhraj-vijegi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
all-of-Cluster
- 大多数经典聚类分析算法的matlab实现，包括K均值、模糊聚类（FCM）、SOM、Kohonen、EM、DBSCAN、等！-ON划词翻译ON实时翻译 Most of the classical clustering algorithm matlab implementation, including K means, fuzzy clustering (FCM), SOM, Kohonen, EM, DBSCAN, etc.!
som神经网络
- som神经网络自组织特征映射网络，用于聚类(Som neural network self-organizing feature mapping network for clustering)
SOMDemo
- 用自组织映射网络进行聚类分析，然后可以用于颜色识别，图像分割(Clustering analysis using self-organizing mapping network can then be used for color recognition, image segmentation)
05 竞争神经网络与SOM神经网络
- 自组织神经网络概念和原理，并重点介绍一下自组织特征映射SOM网络。SOM和现在流行的ANN（MLP）模型在结构上类似，都由非常简单的神经元结构组成，但是SOM是一类“无监督学习”模型，一般的用法是将高维的input数据在低维的空间表示[1]，因此SOM天然是一种降维方法。除了降维，SOM还可以用于数据可视化，以及聚类等应用中。(The concept and principle of self-organizing neural network are introduced, and the s
som
- 随机产生5类二维坐标系中的数，使用SOM网络进行无监督聚类，将产生的随机数自动聚成五类，并将结果用图像直接显示出来，生成训练好的网络权值(Five kinds of random numbers in two-dimensional coordinate system are generated randomly, and unsupervised clustering is carried out using SOM network. The random numbers generated