这些都是在开始时随机选择的,并根据学习算法的多次迭代对训练数据集进行最佳的总结。 在学习之后,codebook vector可以用来做出像k近邻那样的预测。通过计算每个codebook vector和新数据实例之间的距离,可以找到最相似的邻居(最佳匹配的codebook vector)。然后将最佳匹配单元的类值或(回归的实际值)作为预测返回。 如果您将...
1)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 ...
1) Learning vector quantization algorithm 学习向量量化算法 2) Learning Vector Quantization algorithms 学习矢量量化算法 例句>> 3) learning vector quantization 学习向量量化 1. Recognition of cancerous stomach tissues by artificial learning vector quantization neural network; 学习向量量化神经网络用于胃...
1) Learning Vector Quantization(LVQ) clustering algorithm 学习矢量化网络(LVQ)聚类算法2) learning vector quantization(LVQ) 学习矢量量化网络(LVQ) 3) learning vector quantification 学习型矢量量化(LVQ) 4) line vector quantization (LVQ) neural network 矢量量化(LVQ)神经网络...
Just like the LVQ algorithm, the proposed modification uses a supervised learning procedure to learn the best prototype positions, but unlike LVQ algorithm for classification, it also learns the best prototype target values. This results in the effective partition of the feature space, similar to ...
Learning vector quantization Learning Vector Quantization algorithm, Version 1 Learning with Errors Learning with Logics and Logics for Learning Learning with Technology Needs Assessment Learning with the Financial Times Resource Book Learning With the Internet Learning Without Limits Learning Works For All...
LearningVectorQuantization(LVQ):学习矢量量化(LVQ)Learning Vector Quantization (LVQ) Introduction to Neural Networks : Lecture 18 © John A. Bullinaria, 2004 1.What is Vector Quantization?2.The Encoder-Decoder Model 3.Relation between a SOM and Noisy Encoder-Decoder 4.Voronoi Tessellation 5....
网络学习式向量量化;学习向量量化;学习向量量化网路 网络释义 1. 学习式向量量化 Data Clustering and Pattern... ... 5-3:Learning Vector Quantization(学习式向量量化) 5-4:Linear Classifiers( 线性分类器) ... neural.cs.nthu.edu.tw|基于16个网页 ...
经典算法:the Apriori algorithm and k-Means.(这个专用名词就不翻译了) 3. Semi-Supervised Learning(半监督学习) 顾名思义,半监督学习意味着训练数据有一部分有标签,而一些没有,一般而言,当训练数据量过少时,监督学习得到的模型效果不能满足需求,因此用半监督学习来增强效果。
2.9 遗传算法(genetic algorithm) 遗传算法模拟生物繁殖的突变、交换和达尔文的自然选择(在每一生态环境中适者生存)。它把问题可能的解编码为一个向量,称为个体,向量的每一个元素称为基因,并利用目标函数(相应于自然选择标准)对群体(个体的集合)中的每一个个体进行评价,根据评价值(适应度)对个体进行选择、交换、变...