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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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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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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 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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