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Description: nsl kdd klustering in deductor
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Size: 1929216 |
Author: negobeear |
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Description: kohoen matlab in neurual network
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Size: 3072 |
Author: s.me2010
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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 of SOFM (self-organizing feature map) source code, hope you like them,)
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Size: 28672 |
Author: jorqer
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Description: self-organizing map neural network source
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Size: 204800 |
Author: fatemi
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Description: 程序可以实现采用kohonen神经网络进行聚类分析(The Kohonen neural network can be used to carry out clustering analysis in the program)
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Size: 697344 |
Author: 罐男
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Description: LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式,融合了自组织和有导师监督的技术,学习方法是竞争的,但()
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Size: 35840 |
Author: Ilwivoxg
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Description: sofm算法的简单实现，供作学习参考使用，学习中(Simple implementation of SOFM algorithm)
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Size: 28672 |
Author: aacc007
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Description: LVQ网络（Learning Vector Quantization）是SOM的一个变种，但是学习方法仍然是Kohonen的竞争方法，说他是变种，因为这个算法是一种有监督的方法。(LVQ network is a variant of SOM, but learning method is still a competitive method of Kohonen. It is a variant because it is a supervised method.)
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Size: 47104 |
Author: 哼哼1214
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Description: 1981年芬兰 一种自组织特征映射网 ， 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(In 1981, a self organizing feature mapping network, also known as Kohonen network, was used in Finland. Kohonen thinks that when a neural network accepts external input mode, it will be divided into different corresponding regions. Each region has different response characteristics to input mode.)
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Size: 46080 |
Author: 哼哼1214
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Description: LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式,融合了自组织和有导师监督的技术,学习方法是竞争的,但()
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Size: 35840 |
Author: graow |
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Description: 案例程序分析，用于神经网络编程参考；对人工神经初学者编程起指导作用(Case program analysis for neural network programming reference;The guiding role of programming for the beginners of artificial nerve)
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Size: 8633344 |
Author: 细节斗士 |
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Description: 本书共有43章，内容涵盖常见的神经网络（BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等）以及相关智能算法（SVM、决策树、随机森林、极限学习机等）。同时，部分章节也涉及了常见的优化算法（遗传算法、蚁群算法等）与神经网络的结合问题。此外，本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性，如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc)
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Size: 54128640 |
Author: caravan |
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Description: Kohonen and K-Means Algorithm used to used to segmentating the medical images
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Size: 246006 |
Author: praba82 |
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