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Description: 开发环境:Matlab 简要说明:自组织特征映射模型(Self-Organizing feature Map),认为一个神经网络接受外界输入模式时,将会分为不同的区域,各区域对输入模式具有不同的响应特征,同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激,而较远的神经元则相互抑制,更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。-development environment : Matlab Brief Description : Self-Organizing Map model (Self-Organizing Map feature), a neural network that external input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is automatic End %. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method.
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Author: 李洋 |
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Description: 一个自组织映射的很好的程序,其中包含4个演示程序,使用者也可以在此基础上进行开发,很方便的。-a Self-Organizing Map of good procedures, which include four demo program, users can also conducted on the basis of this development, is very convenient.
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Author: 王晓 |
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Description: Kohonen 网络模拟大脑神经系统自组织特征映射的功能,它是一种竞争式学习网络,在学习中能无监督地进行自组织学习。-Kohonen network simulation system cerebral self-organizing feature mapping function, It is a competitive learning networks, the study can be carried out without supervision from the organizational learning.
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Author: 东方云 |
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Description: ISODATA自组织迭代图像分割代码,用于彩色图像分割,代码简单易懂,并配有注释,绝对原创-Iterative Self-Organizing ISODATA image segmentation code for the color image segmentation, easy-to-read code. and equipped with the Notes absolute originality
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Size: 4096 |
Author: guagua |
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Description: Kohonen的SOFM(自组织特征映射)源程序,希望大家喜欢-Kohonen's SOFM (self-organizing feature map) source hope you like
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Author: klhkl |
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Description: 基于自组织特征映射网络的聚类分析,是在神经网络基础上发展起来的一种新的非监督聚类方法,分析了基于自
组织特征映射网络聚类的学习过程,分析了权系数自组织过程中邻域函数和学习步长的一般取值问题,给出了基于自组织
特征映射网络聚类实现的具体算法,并通过实际示例测试,证实了算法的正确性。
-Based on self-organizing feature map network cluster analysis, neural network is developed on the basis of a new non-supervised clustering method, analysis based on self-organizing feature map network clustering of the learning process, analyzed the weights of self-organization the process of neighborhood function and learning step-size problem of the general values are given based on the self-organizing feature map network clustering algorithm to achieve concrete and practical examples of tests, confirmed the correctness of the algorithm.
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Author: zhaiyaojie |
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Description: 基于自组织特征映射(SOM)的系统辨识算法实现-Based on self-organizing feature map (SOM) of the system identification algorithm
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Author: JW |
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Description: MATLAB implementation of time series prediction Based on the VQTAM method described in the following papers:
G. A. Barreto & A. F. R. Araujo (2004)
"Identification and Control of Dynamical Systems Using the Self-Organizing Map"
IEEE Transactions on Neural Networks, vol. 15, no. 5.
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Size: 23552 |
Author: Carlos Wilson |
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Description: Thesis from the Charles University (Prague) about Kononen s Self-organizing maps. In English.
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Size: 8182784 |
Author: Larrr |
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Description: 基于自组织特征映射神经网络的图像压缩算法,EI检索论文,绝对有参考价值.-Based on self-organizing feature map neural network image compression algorithm, EI retrieval papers, the absolute reference value.
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Author: yangjianlei |
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Description: 该目录包含了代码执行Kohonen自组织特征
地图网络。源代码中可以找到SOFM.CPP 。样本数据中发现
SOFMSAMP.PAT 。的自组织特征映射程序接受输入的载体和组成
计算重量。输出定向到屏幕上。-This directory contains the code to implement Kohonen self-organizing feature map network. Source code can be found SOFM.CPP. Found in the sample data SOFMSAMP.PAT. The self-organizing feature map process to accept input vector and calculate the weight of the composition. Output directed to the screen.
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Author: 刘柳 |
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Description: 自组织特征映射网络matlab 的仿真 供大家分享~ -Self-organizing feature maps of matlab simulation for network share
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Author: wangqunqun |
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Description: It s toolbox in determining the crime pattern analysis using SOM (Self-Organizing Maps). It s using SOM clusters and K-means clusters.
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Author: Najihah |
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Description: Kohonen article of self-organizing maps, published in 1982 in IEEE. It contain general ideas about self-organizing neural networks.
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Author: luxury_x |
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Description: This code is the implementation of Mahalnobis SOM algorithm published in this article.
Face recognition under varying illumination using Mahalanobis self-organizing map
S Aly, N Tsuruta, RI Taniguchi - Artificial Life and Robotics, 2008 - Springer-This code is the implementation of Mahalnobis SOM algorithm published in this article.
Face recognition under varying illumination using Mahalanobis self-organizing map
S Aly, N Tsuruta, RI Taniguchi- Artificial Life and Robotics, 2008- Springer
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Author: Aly |
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Description: Neural Network Based Clustering
using Self Organizing Map (SOM) in Excel
Here is a small tool in Excel using which you can find clusters in your data set. The tool uses Self Organizing Maps (SOM) - originally proposed by T.Kohonen as the method for clustering.
* Neural Network based Clustering tool in Excel (209 KB in Zipped format. 947 KB when unzipped.)
Inside the downloaded zip file, you will find the Excel file containing the application. Before running it, I suggest that you go through the ReadMe worksheet. It contains brief instructions on how to run the tool.
If you are interested in building Prediction and Classification models in Excel using Feedforward-Backpropagation Neural Network, here are two small Excel based tools for you. Also, if you are interested in Tree based Classification models, here is a Tree based classifier in Excel.
-Neural Network Based Clustering
using Self Organizing Map (SOM) in Excel
Here is a small tool in Excel using which you can find clusters in your data set. The tool uses Self Organizing Maps (SOM)- originally proposed by T.Kohonen as the method for clustering.
* Neural Network based Clustering tool in Excel (209 KB in Zipped format. 947 KB when unzipped.)
Inside the downloaded zip file, you will find the Excel file containing the application. Before running it, I suggest that you go through the ReadMe worksheet. It contains brief instructions on how to run the tool.
If you are interested in building Prediction and Classification models in Excel using Feedforward-Backpropagation Neural Network, here are two small Excel based tools for you. Also, if you are interested in Tree based Classification models, here is a Tree based classifier in Excel.
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Size: 214016 |
Author: Jessie |
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Description: 自组织特征映射模型(Self-Organizing feature Map),认为一个神经网络接受外界输入模式时,将会分为不同的区域,各区域对输入模式具有不同的响应特征,同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激,而较远的神经元则相互抑制,更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。-Self-organizing maps model (Self-Organizing feature Map), that a neural network to accept outside input mode, will be divided into different regions, the regional input modes have different response characteristics, while the process is done automatically . The connection weights of neurons with a certain distribution. Nearest neurons stimulate each other, while distant neurons are mutually inhibitory, with a further some of the weaker stimulus. Self-organizing feature map method is a clustering method without teachers.
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Size: 1024 |
Author: yyt |
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Description: 自组织竞争神经网络的matlab实现,简单易懂(Matlab realization of self-organizing competitive neural network, easy to understand)
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Size: 8192 |
Author: lubyn
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Description: Self Organizing Map example in MATLAB
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Size: 945152 |
Author: Anbazhagan
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Description: Self Organizing Map MATLAB code
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Author: Anbazhagan
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