LVQ

Assessment of traffic atmospheric environmental quality with LVQ neural network model

基于LVQ神经网络模型的道路交通大气环境质量评价

LVQ neural network model assessing road atmospheric environmental quality was designed with MATLAB language.

结果表明,设计的LVQ网络模型具有良好的非线性映射功能和泛化功能.

An Approach to Mechanism Type Selection Using LVQ Neural Network

采用学习向量量化神经网络法研究机构的选型

By comparison, LVQ network was better than the others in classification ability and training cost, and PNN network in computation load and easy use.

比较而言，学习矢量量化网络在分类能力和训练成本方面更胜一筹，而概率神经网络则在计算负载和易用性方面更好一些。

A method is presented to design a rotated Barnes-Wall lattice based Vector quantizer.

文中提出了一种基于旋转Barnes - Wall格的格型矢量量化器(LVQ) 实现方法.

The results show that LVQ method outperforms these models and has good application prospect in this field.

研究结果表明学习矢量量化算法与这些传统方法相比具有更高的预测精度，在此领域有着良好的应用前景。

First, introduce two classification methods adopted by this system-LVQ nerve network and curvilinear correlation.

首先介绍了系统所采用的LVQ神经网络和求相关性两种分类方法.