中文说明：LVQ学习向量量化神经网络是一种用于训练竞争层的有监督的学习方法的输入前向神经网络，其算法是Kohonen竞争算法演化而来的。LVQ学习向量量化神经网络在模式识别和优化领域有着广泛的应用网络结构输入层，竞争层，线性输出层当某个模式被送入网络时，与输入模式最近的竞争层神经元被激活，神经元状态为1，而其他神经元的状态均为0。LVQ属于竞争型学习网络，因此可以联想到竞争型学习网络的有关知识来学习。
English Description：
LVQ learning vector quantization neural network is used as a supervised learning approach training in the competition layer input feedforward neural network, the Kohonen algorithm is competitive algorithm evolved.LVQ learning vector quantization neural networks have been widely used in pattern recognition and optimization fieldNetwork structureThe input layer, the competitive layer, linear output layerWhen a pattern is sent to the network, and the input mode of recent competitive layer neurons are activated, the state of the neuron is 1, while the other states of the neurons are 0. LVQ is a competitive learning network, the relevant knowledge and therefore can be associated to the competitive learning network to learn.