搜索资源列表
svm算法vc源代码
- Libsvm 3.23完全版-A program of svm based on vc code,hope to useful to friends who study on structure of the data.
svm
- SVM算法，JAVA 神经网络 自己写的，多多指教
SVM
- SVM算法，用以进行样本的分类。可以将样本分成两类
SVM
- 一种改进的svm算法，个人觉得还不错，希望各位能用的上
经典SVM算法matlab程序
- 经典SVM算法matlab程序 经典程序，不可缺少！
GASVM.用遗传算法进行特征选取和svm参数优化的程序
- 用遗传算法进行特征选取和svm参数优化的程序。遗传算法工具箱goat已在压缩包 需要安装libsvm就可以直接运行。数据集采用UCI中的german数据集，并完成归一化操作,Genetic algorithm with feature selection and parameter optimization svm procedures. Genetic Algorithm Toolbox in goat need to install libsvm package can be run dir
pso-svm.rar
- 粒子群算法与支持向量机的结合，用粒子群算法快速寻找支持向量机的最优参数。,Particle swarm optimization with support vector machines with particle swarm optimization with support vector machines quickly find the optimal parameters.
svm
- 这是一个十分完善的SVM算法。包括各种的线性核和非线性核。能够解决各种分类问题。-This is a very good SVM algorithm. Including the linear kernel and nonlinear kernel. To solve various classification problems.
algorithms
- 我个人收集的各类智能算法，共有20多个源代码，包括：遗传算法，蚁群算法，粒子群算法，微分进化算法，遗传神经网络算法，粒子群SVM算法，粒子群神经网络算法等混合算法-I collect all kinds of intelligent algorithms, a total of more than 20 source code, including: genetic algorithms, ant colony optimization, particle swarm optimization,
svm-EM
- SVM(支持向量机）和EM（最大熵）文本分类算法，压缩包中包括了测试文本（环境类和计算机类），词典，停用词表等。-SVM (support vector machine) and EM (maximum entropy) text classification algorithm, compressed package includes test text (environmental and computer), dictionary, thesaurus, such as disabled.
SVMcanshuxuanqu
- 这是两篇非常好的讲怎么样对SVM的参数优化，可以从中学习进而对SVM算法改进-This is two very good speakers on how to optimize the SVM parameters, you can learn and thus improve the SVM algorithm
mySVM
- SVM 算法的基本实现,做向量机的参考资料-image Process by SVM
SVM
- SVM 算法PPT,可以了解下SVM的思想-SVM algorithm PPT
svm-phasestateofcloudclassificationalgorithmsource
- 利用支持向量机的分类特性，结合modis的云图像，对云相态进行分类，利用svm云相态分类算法源代码-The use of support vector machine classification of features, combined with clouds modis images of the cloud phase state classification using svm-phase state of cloud classification algorithm source c
SMO算法实现
- 使用Matlab重新实现了svm算法中的核心算法SMO，即序列优化问题。 其中my_seqminopt.m是重写的实现代码，完成了核心的迭代优化过程。(MATLAB code of SMO algorithm in SVM algorithm)
SVM
- 先实用熵权法对建模参数进行权重分析，在用svm算法进行训练预测(Firstly, the weights of the parameters are analyzed by entropy weight method, and the training is predicted by SVM algorithm)
ABC_SVM
- svm算法，用于数据挖掘，分类。图像处理(SVM algorithm for data mining, classification. image processing)
2
- 基于SVM算法和纹理特征提取的遥感图像分类(based on the SVM algorithm and texture feature extraction of remote sensing image classification)
SVM做图片处理
- 使用SVM算法对CIFAR-10图片数据集进行分类，包括模型的训练，测试和参数的调优(Using SVM algorithm to classify CIFAR-10 image data sets, including model training, testing and parameter tuning)
SVM算法
- 实现线性支持向量机算法，并比较其原始函数与对偶形式函数(Realize the linear SVM algorithm, and compare the original function and dual function)