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1)  Weight vector
加权向量
2)  weighted vector
加权向量
1.
This paper studies the method of restraining direct-arrival wave of passive radar based on outside radiation source,which adopts the adaptive technique of phased array radar,generates zero falling in the direction of direct-arrive wave to restrain the jamming by adjusting weighted vector.
对基于外辐射源的无源雷达系统中的直达波抑制方法进行了研究,采用相控阵雷达的自适应技术,通过加权向量调整从而在直达波干扰方向上产生零陷来抑制其干扰。
3)  preference vector
加权向量
1.
Based on these work, this paper presents a definition of group consensus, and in the end, provides two methods of searching group preference vector from individual preference vectors.
运用三角模糊数的概念,根据个体加权向量,提出衡量个体间一致性的相似度量函数,由此构造个体、群体的一致性指标。
4)  weighted support vector machine
加权支持向量机
1.
Forecasting of the urban registered unemployment rate in Fujian province based on kernel principal component analysis and weighted support vector machine
基于核主成分与加权支持向量机的福建省城镇登记失业率预测
2.
The prediction model using the weighted support vector machine was proposed considering the factors which had relations with the global production indices.
以某选矿厂为实际背景,在分析了指标之间关系的基础上,采用加权支持向量机建立了相关指标的预报模型,并通过构造重要性函数的方法确定了支持向量机加权系数,最后利用该厂历史数据进行了仿真实验。
3.
So a new hybrid prediction model based on PCA and weighted support vector machine(WSVM) is proposed.
针对网络化制造资源配置受多因素影响,变化趋势复杂,难以用单一预测方法进行有效预测的问题,提出一种新的基于主成分分析和加权支持向量机的智能混合预测模型。
5)  weighted eigenvector approach
加权特征向量法
6)  weighted support vector machines
加权支持向量机
1.
Using the high generaliza-tion ability of support vector machines (SVMs) and the idea of locally weighted learning (LWL) algorithm, this paper proposes a novel learning algorithm named weighted support vector machines (W_ SVMs) which is suitable for local le.
本文利用支持向量机(SVMs)泛化能力强的特点,结合局部加权学习(LWL)算法思想,提出一种适于局部学习的加权支持向量机(W-SVMs)学习算法和基于这种算法的移动建模方法。
2.
To deal with the common unbalanced problem in ABC inventory classification,this paper analyzed the limitation of general support vector machines and proposed a method of muhicriteria classification of inventories based on weighted support vector machines(W-SVM),which introduced weight factor for each class to compensate the bias towards class with large size of samples by unbalanced training set.
针对 ABC 库存分类中存在的样本类别不平衡问题,提出了一种基于加权支持向量机的多准则库存分类方法,通过引入类权重因子来解决由于训练集中的类别差异引起的分类结果偏向多样本类的问题。
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