1) improvably modified learning vector quantization
改进学习矢量量化
1.
Then, after making preliminary investigations and discussions on the feature extraction and artificial neural networks,the dollar recognition method based on improved principle component analysis (IPCA) and improvably modified learning vector quantization (IMLVQ) neural networks was proposed.
本文在充分学习了美元识别的国内外研究现状和研究方法之后,分析了美元真伪币的特征,选用有效的传感器获取美元有用的隐性特征,并针对美元的特征提取和识别进行了一些的探讨,提出了一种基于改进主成分分析(IPCA)和改进学习矢量量化(IMLVQ)神经网络的美元识别方法。
2) improved learning vector quantization
改进的学习向量量化
3) learning vector quantization
学习矢量量化
1.
Remote sensing image classification based on hybrid learning vector quantization algorithm;
基于混合学习矢量量化算法的遥感影像分类
2.
Objective: To investigate the potential of learning vector quantization (LVQ )artificial neural network tools for discrimination and forecasting of occurrent intensity of typhoid and paratyphoid.
目的: 探讨学习矢量量化(LVQ)人工神经网络在伤寒、副伤寒发生强度判别与预测中的应用。
3.
The energies in different frequency bands selected as robust feature vectors, four types of forearm movement are identified through learning vector quantization neural network.
分析了特征提取方法并采用小波包变换各频段能量构造特征矢量,经过学习矢量量化神经网络训练能够有效地从伸肌和屈肌采集的两道肌电信号中识别伸拳,展拳,腕内旋,腕外旋4种运动模式,平均识别率为94。
4) LVQ
学习矢量量化
1.
The paper is to identify EEG signals of different mental tasks with sixth-order autoregressive,AR(6)coeffi-cients derived from raw,unfiltered EEG signals and LVQ network as classifier.
为了识别在不同思维状态下的自发脑电(EEG)信号 ,本文用6阶自回归(AR)模型表示EEG信号 ,用学习矢量量化(LVQ)神经网络作分类器 ,分别用LVQ1和LVQ2。
2.
LVQ(Learning Vector Quantization)neural network is adopted in gate network and network output is obtained by the nearest rule in space.
算法采用快速近邻法的思想,将样本集分级分解为不同子集,依靠测试样本集的误差估计,获得每个专家网络的网络结构;门网采用学习矢量量化神经网络,根据空间距离最近的原则,得到系统输出。
6) Batch fuzzy learn vector quantization
批量模糊学习矢量量化
补充资料：改进
改变旧有情况，使有所进步：～工作ㄧ操作方法有待～。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条