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Description: 几个神经网络算法的例程，包括前向adaline, 共振art1, boltzman机, hopfield 网络, 自组织som 等等.-several neural network algorithm routines, including In this paper before, art1 resonance, Boltzman machine, hopfield networks, self-organizing som, and so on.
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Size: 114311 |
Author: Z. Y. GU |
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Description: 一组老外编写的神经网络源代码，非常值得收藏和研究。有BPN、ART1、ADALINE、SOM、CPN、HOPFIELD、BOLTZMAN等神经网络。吐血推荐在进行神经网络编程的朋友下载。 -a group of foreigners prepared neural network source code is very worthwhile collection and research. There are 7.82, ART1, ADALINE, SOM, CPN, Hopfield, BOLTZMAN such as neural networks. Suggest to vomit blood during neural network programming downloaded friends.
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Size: 274432 |
Author: 于一 |
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Description: 人工神经网络的经典算法，非常利于学习人工神经网络。 -artificial neural network algorithm for the classic, very conducive to learning artificial neural networks.
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Size: 4096 |
Author: 高峰 |
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Description: 几个神经网络算法的例程，包括前向adaline, 共振art1, boltzman机, hopfield 网络, 自组织som 等等.-several neural network algorithm routines, including In this paper before, art1 resonance, Boltzman machine, hopfield networks, self-organizing som, and so on.
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Size: 334848 |
Author: Z. Y. GU |
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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: 通过神经网络，蚁群算法，遗传算法等智能优化方法解决TSP问题-Through neural networks, ant colony algorithm, genetic algorithm, such as intelligent optimization methods to solve TSP problems
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Size: 9216 |
Author: anson |
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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: 用C写的神经网络,ADALINE,SOM,BAM,BPN,CPN,HOPFIELD,绝对经典、实用，测试OK！-Writing with C neural networks, ADALINE, SOM, BAM, BPN, CPN, HOPFIELD, an absolute classic, practical, tested OK!
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Size: 3072 |
Author: amy |
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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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Size: 1497088 |
Author: luxury_x |
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Description: 基于som的人口分类程序，自编matlab的som网络，希望对研究神经网络的有用-Som of the population-based classification procedures, self-compiled matlab s som network, want to study the usefulness of neural networks
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Size: 766976 |
Author: 刘凯 |
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Description: 详细说明：几个神经网络算法的例程，包括前向adaline, 共振art1, boltzman机, hopfield 网络, 自组织som 等等.-Detailed Description: The number of neural network algorithm routines, including the former to the adaline, resonance art1, boltzman machine, hopfield networks, self-organizing som more.
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Size: 112640 |
Author: 小白 |
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Description: matlab implimation som networks
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Size: 98304 |
Author: sahar |
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Description: 用MATLAB编写，采用som网络，来进行归类（随机初始权值）-Written with MATLAB, using som networks to classified (random initial weights)
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Size: 1024 |
Author: sxp |
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Description: 详细介绍SOM神经网络在matlab中如何实现，以后建立网络时，在此基础上修改即可-Details of SOM neural network in matlab how, after the establishment of networks, can be modified on this basis
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Size: 115712 |
Author: 卓蒙蒙 |
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Description: Cell clusterer built on the base of SOM neural network. It divides the test set into some subsets. However, the decision function is hidden (as in SOM networks).
As an imput, we take the set of images. Each image is then transferred to the neurons. Each neuron reflects specified pixel of image (we assume, all images are correctly prepared and have the same size).
As a result, we get the list of generated subsets with assignments between them and items from test set.
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Size: 192512 |
Author: Fenomen |
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Description: using VHDL implement Nerual Networks
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Size: 1491968 |
Author: 孙明 |
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Description: 神经网络中的SOM网络用于对数据进行分类,文件中已包含数据库文件-Neural networks SOM network is used to classify the data in the document already contains the database files
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Size: 4096 |
Author: 陈颖 |
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Description: SOM神经网络：Self-Organizing Map 的缩写，即自组织映射。
1981年芬兰Helsink大学的T.Kohonen教授提出一种自组织特征映射网，简称SOM网，又称Kohonen网。 Kohonen认为：一个神经网络接受外界输入模式时，将会分为不同的对应区域，各区域对输入模式具有不同的响应特征，而且这个过程是自动完成的。自组织特征映射正是根据这一看法提出来的，其特点与人脑的自组织特性相类似。
由于它的强大功能，多年来，神经网络在数据分类、知识获取、过程监测、故障识别等领域中得到广泛运用。-SOM Neural Networks: Self-Organizing Map acronym, that self-organizing map. 1981 University Professor T.Kohonen Finland Helsink propose a self-organizing feature map network, referred to as SOM network, also known as Kohonen network. Kohonen think: when a neural network to outside input mode, will be divided into different corresponding regions, the regional input to the model with different response characteristics, and this process is done automatically. It is similar to the self-organizing map according to this view put forward, which is characterized by self-organization and phase characteristics of the human brain. Because of its powerful over the years, neural networks in data classification, knowledge acquisition, process monitoring, fault identification and other areas to be widely used.
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Size: 1024 |
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Description: Anomaly Detection using Self-Organizing Map and Wavelets in Wireless Sensor Networks-Anomaly Detection using Self-Organizing Map and Wavelets in Wireless Sensor Networks
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Size: 412672 |
Author: fad |
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Description: Document for SOM Neural Networks
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Size: 594944 |
Author: meftahi |
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