1) Fuzzy Weighted Support Vector Machine(FW-SVM)
模糊加权支持向量机
1.
The texture information of the sample image is trained by using Fuzzy Weighted Support Vector Machine(FW-SVM),and the water decision function is got,through which the water region can be detected.
该方法采用树型小波对SAR图像进行分解,提取样本图像与待检测图像的中频信息,并进行纹理分析,利用模糊加权支持向量机对样本图像的纹理进行训练,从而获得判别水体的决策函数,通过该决策函数能够检测出图像的水体区域。
2) Fuzzy support vector machine
模糊支持向量机
1.
Medical image classification technology based on fuzzy support vector machine;
基于模糊支持向量机的医学图像分类技术
2.
Hyperspectral image classification based on fuzzy support vector machine;
基于模糊支持向量机的超光谱遥感图像分类
3.
Research of multi-class algorithm based on fuzzy support vector machine;
基于模糊支持向量机的多分类算法研究
3) Fuzzy Support Vector Machines
模糊支持向量机
1.
Application of fuzzy support vector machines for fault diagnosis of turbogenerator unit;
模糊支持向量机在汽轮机故障诊断中的应用
2.
Fuzzy Support Vector Machines and Fuzzy Simulation;
模糊支持向量机与模糊模拟
3.
Multiclassification Method Research Based on Fuzzy Support Vector Machines;
基于模糊支持向量机的多类分类方法研究
4) FSVM
模糊支持向量机
1.
Study of Object Detection Based on FSVM and Kernel Methods;
基于模糊支持向量机和核方法的目标检测方法研究
2.
According to the different effects of input samples, the conception of the fuzzy membership to each input sample is considered and also the principle of Fuzzy Support Vector Machine (FSVM) is discussed.
根据输入样本对分类结果不同的影响程度,引入模糊隶属度,探讨了模糊支持向量机(FSVM)原理,并将其应用于汉语语音信号中生气、高兴、悲伤、惊奇4种主要情感类型的识别。
3.
FSVM resolves the problem of unclassifiable regions in multi-class support vector machines.
模糊支持向量机方法解决了多类支持向量机方法中的不可分区域问题。
5) Fuzzy Support Vector Machine(FSVM)
模糊支持向量机
1.
This paper proposes a gait recognition approach based on Fuzzy Support Vector Machine(FSVM).
提出基于模糊支持向量机(FSVM)的步态识别方法,以人体步态的宽度向量作为特征,探讨直接取值法和模糊C均值2种模糊隶属度确定方法对FSVM步态分类效果的影响。
2.
Offset determines the position of optimal separating plane of Support Vector Machine(SVM) and Fuzzy Support Vector Machine(FSVM) and affects the performance of classification greatly.
偏移量确定了支持向量机和模糊支持向量机(FSVM)的最优分类面位置,对分类性能具有较大影响。
3.
In order to improve the training efficiency,an advanced Fuzzy Support Vector Machine(FSVM) algorithm based on the density clustering(DBSCAN) is proposed.
为了提高模糊支持向量机在数据集上的训练效率,提出一种改进的基于密度聚类(DBSCAN)的模糊支持向量机算法。
6) 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。
补充资料：模糊
1.亦作"模胡"。 2.不分明;不清楚。 3.谓草率，马虎。 4.混淆。
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