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Description: SOM算法,matlab程序,是经典的教科书的例子程序-SOM algorithm, Matlab procedures, are classic textbook example of procedures
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Size: 427008 |
Author: 郭攀红 |
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Description: SOM神经网络，可以进行特征提取和模式分类，特别是特征维数较多的情况。-SOM neural network, can feature extraction and classification, in particular characteristic dimension of more.
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Size: 1024 |
Author: 周刚 |
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Description: 神经网络中的SOM算法的C语言程序实现,可以对初学者了解神经网络有帮助.-SOM neural network algorithm in the C language program can be for beginners understand the neural network has to help.
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Size: 89088 |
Author: yang |
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Description: 适用于需要用matlab环境，用som方法解决分类问题的朋友们-Applicable to the need to use matlab environment, used to solve classification problems som friends
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Size: 413696 |
Author: 邱青菊 |
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Description: 采用神经网络中的SOM网络，对数据进行分类-The use of neural networks in the SOM network, the data classification
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Size: 1024 |
Author: 余洁 |
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Description: 用SOM方法计算非线性shrodinger方程，得到了各种孤子解-SOM calculated using non-linear equation shrodinger received a variety of soliton solutions
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Size: 1024 |
Author: zhuaiyu |
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Description: Kohonen的SOM软件包，matlab里最好的som软件-Kohonen s SOM package, matlab best som software
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Size: 1543168 |
Author: lance |
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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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Size: 2048 |
Author: JW |
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Description: classic SOM program for using with Matlab Neural network toolbox
useful for data classification etc.
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Size: 140288 |
Author: 张一 |
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Description: 这是非常好的程序，有兴趣的都来看看，-It is a very good procedures, all interested parties to look at,
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Size: 2048 |
Author: 王慧萍 |
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Description: 分别列出BP网络与som网络的代码，通过运行后可以看出同一种问题在不同网络下的处理差别。-A breakdown of BP network and som network code, by running after the same kind of problem can be seen in the different networks of processing differences.
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Size: 2048 |
Author: 王宇飞 |
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Description: MATLAB的自组织映射神经网络源码和相应的实验数据-MATLAB' s self-organizing map neural network source code and the corresponding experimental data
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Size: 1024 |
Author: ccccc |
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Description: SOM神经网络（自组织特征映射神经网络）是一种无导师神经网路。网络的拓扑结构是由一个输入层与一个输出层构成。输入层的节点数即为输入样本的维数，其中每一节点代表输入样本中的一个分量。输出层节点排列结构是二维阵列。输入层X中的每个节点均与输出层Y每个神经元节点通过一权值(权矢量为W)相连接，这样每个输出层节点均对应于一个连接权矢量。
自组织特征映射的基本原理是，当某类模式输入时，其输出层某一节点得到最大刺激而获胜，获胜节点周围的一些节点因侧向作用也受到较大刺激。这时网络进行一次学习操作，获胜节点及其周围节点的连接权矢量向输入模式的方向作相应的修正。当输入模式类别发生变化时，二维平面上的获胜节点也从原来节点转移到其它节点。这样，网络通过自组织方式用大量训练样本数据来调整网络的连接权值，最后使得网络输出层特征图能够反映样本数据的分布情况。根据SOM网络的输出状况，不仅能判断输入模式所属的类别，使输出节点代表某类模式，而且能够得到整个数据区域的分布情况，即从样本数据得到所有数据的分布特征。 -SOM neural network (self-organizing feature map neural network) is an unsupervised neural network. Network topology is an input layer and an output layer. Input layer nodes is the input dimension of the sample, each node represents a component input samples. Output layer nodes are arranged in two-dimensional array structure. X in the input layer and output layer each node of each neuron node Y by a weight (the weight vector as W) is connected, so that each output layer corresponds to a connection node of the right vector.
Self-organizing feature maps of the basic principle is, when each category of inputs into the model, its output layer one node get the maximum boost and win, Huoshengjiedian around Yixiejiedian Yin Zuo Yong Ye Shoudaojiaotai lateral stimulation. Then a learning network operation, the winner node and surrounding nodes in the right direction vector to the input mode to make consequential amendments. When the input mode type changes, the two-dimensional plane of the wi
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Size: 47104 |
Author: leidan |
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Description: ANN Simulink/Matlab. Constructing Kohonen Self-Organizing-Map (SOM)
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Size: 150528 |
Author: Pavigo |
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Description: Toolbox to implement SOM nural network in matlab
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Size: 446464 |
Author: rossifumi |
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Description: neural network, SOM, in matlab
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Size: 1024 |
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Description: 此ppt详细讲解了SOM的MATLAB实现全过程-This ppt explain in detail the self-organizing network learning algorithm to achieve the whole process of MATLAB
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Size: 396288 |
Author: lee |
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Description: 本书是MATLAB关于神经网络的30个经典案例分析，包括BP，RBF，SVM，SOM，Hopfield，LVQ，小波等神经网络，具有较高的参考价值-There are 30 cases about NN,achieved in MATLAB,you can regard it as a reference
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Size: 28751872 |
Author: 岳松 |
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Description: SOM implementation in MATLAB
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Size: 812032 |
Author: Anbazhagan
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Description: 一个神经网络接收外界输入模式时，将会分为不同的对应区域，各区域对输入模式有不同的响应特征，而这个过程是自动完成的。其特点与人脑的自组织特性类似。SOM的目标是用低维（通常是二维或三维）目标空间的点来表示高维空间中的所有点，尽可能地保持点间的距离和邻近关系（拓扑关系）。(When a neural network receives external input mode, it will be divided into different corresponding regions. Each region has different response characteristics to input mode, and this process is completed automatically. Its characteristics are similar to the self - organization characteristics of the human brain. The goal of SOM is to express all points in high dimensional space with the point of low dimensional (usually two-dimensional or three-dimensional) target space, and keep the distance between points and adjacent relations (Topological Relations) as much as possible.)
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Size: 1024 |
Author: 安联的大球童 |
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