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Description: lvq神经网络 的编程 希望大家能用的上-lvq neural network programming hope everyone can be on the
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Author: zn |
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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。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning form of the expansion, integration of self-organization and the technical supervision of instructors.
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Author: 何风 |
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Description: matlab,编写的LVQ1数据挖掘分类算法。
-Matlab, prepared by the Data Mining LVQ1 classification algorithm.
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Size: 1024 |
Author: 王聪 |
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Description: matlab编写的[数据挖掘]分类算法DSLVQ算法程序。-Matlab prepared by the [data mining] classification algorithm DSLVQ algorithm.
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Size: 1024 |
Author: 王聪 |
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Description: LVQ学习矢量化算法源程序
This directory contains code implementing the Learning vector quantization
network. Source code may be found in LVQ.CPP. Sample training data is found
in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The
LVQ program accepts input consisting of vectors and calculates the LVQ
network weights. If a test set is specified, the winning neuron (class) for
each neuron is identified and the Euclidean distance between the pattern and
each neuron is reported. Output is directed to the screen.-LVQ learning vector algorithm This directory contains source co de implementing the Learning vector quantizat ion network. Source code may be found in LVQ.CPP . Sample training data is found in LVQ1.PAT. Sam ple test data is found in LVQTEST1.TST and LVQTE ST2.TST. The program accepts input LVQ consist ing of vectors and calculates the network we LVQ ights. If a test set is specified, the winning Neurology (class) for each of Neurology is id entified and the Euclidean distance between th e pattern and each of Neurology is reported. Output is directed to the screen.
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Size: 37888 |
Author: 张伟华 |
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Description: 类神经网路,创建LVQ网路对非线性可分离的问题进行分类-neural network, the creation of the Internet LVQ nonlinear separable issues of classification
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Size: 1024 |
Author: jack |
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Description: 类神经网路,训练LVQ网路来执行图样分类-neural network, the training network to implement LVQ pattern classification
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Size: 1024 |
Author: jack |
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Description: lvq神经网络的编程，分类效果明显，希望大家能用的上~-LVQ neural network programming, the classification results obviously, hope that we can use the on ~
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Size: 1024 |
Author: 魔夏 |
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Description: 最详尽的神经网络源码，包括最主要的三个神经网络算法：GRLVQ ， SRNG和H2MGLVQ算法，提供详细的源码和例程，三个监督基于LVQ classifieur-Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifieur
Please run mexme_NN to recompile mex files on your own plateform
Please run test*.m to run demos
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Size: 165888 |
Author: yangle |
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Description: lvq méthode indexation basé sur le som clustering
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Size: 1024 |
Author: chergui |
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Description: lvq vector quantization algorithm for the simulation program Matlab.
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Size: 81920 |
Author: mony |
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Description: 基于矢量向量的神经网络图像边缘检测,有消噪的效果，是图像处理的不错程序-baseed on LVQ net work
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Size: 4096 |
Author: 小妖 |
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Description: 在matlab中用lvq神经网络实现交通事故持续时间的预测-In the matlab using lvq neural networks to forecast the duration of the traffic incident
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Author: 小管 |
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Description: LVQ神经网络 分类 实例 乳腺肿瘤 诊断-LVQ neural network classification of instances of breast cancer diagnosis
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Size: 91136 |
Author: guanyouyuan |
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Description: LVQ神经网络的预测——人脸识别 LVQ神经网络的预测——人脸识别-LVQ neural network forecasting- LVQ neural network prediction Face- Face Recognition
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Size: 4096 |
Author: CZS |
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Description: 对MATLAB中的竞争神经网络lvq源m文件中的程序进行修改，变成“自己”的程序，从而可以实现与其他语言的混编-The competition on the MATLAB neural network lvq source m to modify the program files into " their" process, which can be achieved with other languages mixed
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Size: 4096 |
Author: 小龙 |
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Description: 利用MATLAB實現類神經網路LVQ演算法-Using MATLAB LVQ neural network algorithm to achieve
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Size: 1024 |
Author: pochien |
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Description: 基于LVQ神经网络预测的人脸朝向识别的matlab源程序以及数据-LVQ neural network predictions based on face recognition matlab source towards.
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Size: 3605504 |
Author: 淡水海边 |
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Description: 自己乱改进的lvq神经网络算法,还有很大的改进空间，希望有人和我交流(just change something to lvq)
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Size: 14336 |
Author: xiaoqiang97
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Description: BP神经网络和lvq神经网络的MATLAB程序，程序中包含有网络的识别效果图。(BP neural network and LVQ neural network training and pattern recognition)
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Size: 1024 |
Author: 淼淼M
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