搜索资源列表
GA-SVM
- 遗传算法+支持向量机，非常的实用，希望对大家有用。-Genetic algorithms+ support vector machine, very useful, we want to be useful.
ls-svm_toolbox
- 很有用的支持向量机的工具箱，工具箱里包含LS-SVM的核心算法以及DEMO,内附有工具箱的使用说明-well-known svm toolbox and user guide
transductive-SVM
- 对直推式支持向量机的较为经典的介绍，包含一些直推式学习的思想，算法-Direct Push on Support Vector Machine, introduced a more classic, contains a number of Direct Push the idea of learning, algorithm
wlsvmgfp
- 基于支持向量机的分类算法，整合LibSVM到weka环境-Based on support vector machine classification algorithm, integrated environment LibSVM to weka
SVM
- 这是一篇关于支持向量机的故障诊断博士论文。本文主要研究和探讨将SVM算法应用于故障诊断领域需要考虑的问题和具体的算法实现。 -This is an article on the Support Vector Machine for Fault Diagnosis doctoral dissertation. In this paper, research and explore the SVM algorithm is applied to the field of fault diagno
SVM
- 支持向量机(SVM)用于分类的算法实现-svm
SVM_luzhenbo
- 支持向量机工具箱，包括了二种分类,二种回归,以及一种一类支持向量机算法。 -Support Vector Machine Toolbox, including the two kinds of classification, two kinds of regression, as well as a one-class SVM algorithm.
SVMsuanfashixianVC
- 用VC++实现支持向量机的算法，有测试集训练集，程序完整。-Using VC++ realization of support vector machine algorithm, a test set training set, the program integrity.
makeyong
- 该程序运用蚁群算法，具体为蚁群的寻路过程进行图像分割，针对普通图像跟MRI图像进行轮廓提取，效果不错，值得学习！-The program using ant colony algorithm, specifically for the colony s way-finding process of image segmentation, for the general outline of the image with the MRI image extraction, good results
SMO
- 实现序贯最小优化算法，该算法可加速求解支持向量机问题-To achieve sequential minimal optimization algorithm that can accelerate the problem solving support vector machines
dyl1
- 利用支持向量机对T-S型模糊系统建模的方法，结合BP算法对参数进行优化，从一定程度上解决模糊系统建模所存在的模型结构复杂、维数灾、泛化能力不强和实时性差等问题。-this paper analyzed the approach that applied support vector machines to create novel model in the T-S fuzzy system, combined with BP algorithm which could optimize it,
Labview-for-LIBSVM
- labview中实现分类算法支持向量机（SVM）的经典案例，来源于林智仁的matlab libsvm的labview版本。-achieve a classic case of SVM, labview labview version from the Chih- Jen Lin libsvm.
支持向量机（SVM）在量化投资中的应用
- 利用支持向量机算法，实现在金融量化投资中的应用(The application of support vector machines (SVM) algorithm in quantitative financial investment)
支持向量机算法包
- SVR libsvm-3.1-[FarutoUltimate3.1Mcode](libsvm-3.1-[FarutoUltimate3.1Mcode])
svmMLiA
- 基于最大间隔分割数据，SMO高效优化算法，在复杂数据上应用核函数(Partitioning data based on maximum separation, SMO efficient optimization algorithm, applying kernel functions to complex data)
PSO
- 粒子群优化算法可以用于优化很多其他算法，比如说变分模态分解，经验模态分解，神经网络，支持向量机等等(The particle swarm optimization is use to optimize parameters)
psoSVM
- 采用粒子群算法优化支持向量机的两个参数c与g，以进行后续的实验(Particle swarm optimization (PSO) is used to optimize two parameters c and G for support vector machines for subsequent experiments)
数据挖掘 R语言实战-代码
- 数据挖掘算法R语言实现，包括聚类、判别、集成学习、随机森林、神经网络、支持向量机等算法。(Data mining algorithm R language implementation, including clustering, discrimination, ensemble learning, random forest, neural network, support vector machines and other algorithms.)
matlab代码
- 该代码是基于粒子群算法优化的支持向量机，适用于分类问题(The code is based on particle swarm optimization support vector machine, suitable for classification problem.)
CS-SVM
- 内置麻雀搜索算法优化支持向量机的程序，还有麻雀搜索算法提出的原论文(Built in sparrow search algorithm to optimize the support vector machine program, as well as sparrow search algorithm proposed in the original paper)