搜索资源列表
LIBSVMsrc
- 一个很好的LIBSVM的JAVA源码。对于要研究和改进SVM算法的学者。可以参考。来自数据挖掘工具YALE工具包。-a good LIBSVM JAVA source. They should study and improve SVM academics. Reference. From Data Mining Tool Kit Yale.
SVM(Steve Gunn)
- 一个很好支持向量几软件,STEVE写的,很著名,采用好的算法-a few good support vector software STEVE written in the very famous use of a good algorithm!
数据挖掘常用算法
- 数据挖掘常用的算法,包括id3,k均值,FCM,SVM,CART五个常用的算法,是用matlab编写的。-commonly used data mining algorithms, including id3, k mean, FCM, the SVM, CART five commonly used algorithm is the use of Matlab prepared.
A Java implementation of SMO for training SVM
- 支持向量机的实现源代码! java实现!采用最小序贯算法-SVM achieve source code! Java achieve! Use the smallest sequential algorithm
SVM-MATLAB
- 本文是一篇名为“基于SVM的石油勘探算法研究”的硕士论文,文中应用MATLAB进行算法实现,给出了详细的设计思路,各种不同方法的图像对比,区县调整,是一片相当不错的文章。-This is the one entitled "SVM Based Algorithm for oil exploration," the master's thesis, text MATLAB algorithm is given a detailed design ideas, diffe
SVM(matlab)
- 支持向量机(SVM)实现的分类算法源码[matlab] -Support Vector Machine (SVM), a classification algorithm source code [Matlab]
svm-demo
- 关于支持向量机的一种较快速的计算方法,可以提高其计算速度,SVM-demo算法.-on support vector machines a more rapid method of calculation can improve their speed, SVM-demo algorithm.
基于SVM参数寻优算法的GUI实现
- 关于SVM参数寻优算法的GUI界面实现代码(GUI Interface Implementation Code for the SVM Parameter Optimization Algorithm)
KDD99-SVM
- 根据SVM,基于向量机算法的入侵检测系统,依托的是KDD99数据集(According to SVM, the intrusion detection system based on vector machine algorithm relies on KD99 data set.)
数据挖掘算法
- 常用数据挖掘算法介绍, 包括数据预处理,随机森林,SVM(Introduction of Common Data Mining Algorithms)
PSO优化SVM参数
- 粒子群算法优化libsvm参数,可以自行修改,亲测可用(Particle Swarm Optimization (PSO) optimizes the parameters of libsvm, which can be modified by itself and can be used for pro-test.)
基于粒子群优化算法的特征选择SVM分类
- 针对“BreastCancer”数据集,作为对比,第一次对特征集直接进行SVM分类,第二次使用粒子群算法进行特征选择后再进行SVM分类。并且对比和分析了两次分类的结果。(For "BreastCancer" data set, as a comparison, the first time the feature set is directly classified by SVM, and the second time the feature set is selected
SVM算法
- SVM的分类与预测。带数据的。可直接使用学习。方便入门。(Classification and prediction of SVM. With data. You can use learning directly.it's convence for us to learn it .)
SVM
- 利用三次二分类SVM实现三分类SVM,可以用自己的数据,完美运行。(Using the three-category SVM to implement the three-class SVM, you can use your own data to run perfectly.)
PSO-SVM
- 利用粒子群优化算法对支持向量机中的核函数参数和惩罚参数进行优化是非常有效的手段,可以大大提高鲁棒性。实际过程中读者可通过下载我上传的代码,简单进行修改和阅读附件论文即可快速掌握相关方面的知识,快速使用这一方法。(Particle swarm optimization (PSO) is a very effective method to optimize the kernel function parameters and penalty parameters of SVM, which can
灰狼优化svm(g,a)
- 灰狼优化,由于一些问题的复杂,因此用灰狼算法解决一些优化问题(8/5000 Gray Wolf optimization)
改进svm
- phog方法提取图像特征,svm支持向量机进行分类,分别有GA遗传算法和PSO粒子群优化算法进行寻优。(Phog method extracted image features, SVM support vector machine classification, respectively, GA genetic algorithm and PSO particle swarm optimization algorithm for optimization.)
CS-SVM
- 利用布谷鸟算法优化svm,有目标函数 实验室程序,好用(Optimization of SVM based on cuckoo algorithm)
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)
基于svm的滚动轴承故障诊断
- 使用SVM算法对不同模式的滚动轴承故障进行分类