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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
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LVQ算法( Learning Vector Quantization，学习矢量量化网络)是一种基于模型（神经网络）的方法，本实验要实现的是对LVQ改进的聚类方法——MLVQ（闫德勤等人提出）。该方法克服了LVQ算法对初值敏感的问题和广义学习矢量量化(GLVQ)网络算法性能不稳定的缺点。(附文章)-LVQ algorithm (Learning Vector Quantization. learning vector quantization network) is a model-based
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本源码为学习矢量量化算法源程序。支持模式识别和人工智能算法-the source for learning vector quantization algorithm source. Support pattern recognition and artificial intelligence algorithms
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使用LVQ算法对四类不同的点进行分类,并将最后结果画出-Use learning vector quantization to classify the four classes
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LVQ(Learning Vector Quantization ) lvq vector quantization algorithm for the simulation program matlab.
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Learning Vector Quantization (LVQ) is a supervised version of vector quantization
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学习向量量化神经网络模型与学习算法及MATLAB实现-Learning vector quantization neural network model and learning algorithm
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demo Learning-Vector-Quantization
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实现LVQ（Learning Vector Quantization）算法的VB源码，适合多目标对象的函数模型建立，附测试数据和调用方法实例。按不同使用需求，需要用户适当优化调整，此方法对具备或理解LVQ原理+vb编程的用户最佳。如果你觉得好，谢谢支持！
-LVQ (Learning Vector Quantization) algorithm VB source, multi-target object function modeling, attached test data and c
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VC++的人工智能领域的学习向量量化LVQ(Learning Vector Quantization)的实现包。-VC++ the field of artificial intelligence learning vector quantization LVQ (Learning Vector Quantization) implementation package.
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LVQ即学习向量量化神经网络是一种用于训练竞争层的有监督学习方法神经网络，在模式识别和优化领域有着广泛的应用。本课题要求使用LVQ神经网络训练人脸的特征数据，得到模型对任一人脸图像的朝向进行识别。-Learning Vector Quantization LVQ neural network that is used to train competitive layer neural network supervised learning methods in the field of patt
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模糊聚类分析作为无监督机器学习的主要技术之一，是用模糊理论对重要数据分析和建模的方法，建立了样本类属的不确定性描述，能比较客观地反映现实世界，它已经有效地应用在大规模数据分析、数据挖掘、矢量量化、图像分割、模式识别等领域，具有重要的理论与实际应用价值，随着应用的深入发展，模糊聚类算法的研究不断丰富-Unsupervised fuzzy clustering analysis as the main machine learning techniques is the use of fuzzy t
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Matlab神经网络工具箱函数涉及的网络模型有，感知机网络、线性神经网络、BP神经网络、径向基神经网络、自组织神经网络、学习向量量化神经网络、Elman神经网络、Hopfield神经网络、自适应滤波和控制系统网络等。-Matlab neural network toolbox function involving network model have a perceptron and linear neural network, BP neural network, RBF neural net
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In this paper, the expert system is introduced in
order to detect and classify commonly power quality
disturbances. This system is using learning vector quantization
artificial neural networks. Clustering method named fuzzy
c-mean is also
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竞争型神经网络 主要有自主型竞争、自组特征映射、自适应共振理论、学习向量量化等神经网络-Competitive neural networks are mainly autonomous competition, since the group feature mapping, adaptive resonance theory, learning vector quantization neural network
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Learning Vector Quantization
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Learning Vector Quantization
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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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Learning Vector Quantization Neural Network Based External Fault
Diagnosis Model for Three Phase Induction Motor Using Current
Signature Analysis
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Learning Vector Quantization (LVQ) and k-Nearest
Neighbor for Intrusion Classification
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