搜索资源列表
svm_java
- 应用java实现的svm支持向量机的分类算法！相信对svm感兴趣的朋友有很大帮助！-java application realized svm SVM classification algorithm! Believe that the right svm interested friends will be of great help!
SVM-KMExample
- 对应支持向量机的一些应用的原代码,下载存放在WORK文件夹下即可
svm
- 一支持向量机有用的程序，希望对大家有用，我们一起学习进步。
3SVM
- 支持向量机算法 程序 用于解决支持向量机 数据挖掘和段数据训练-SVM procedure for solving support vector machines in data mining and training section
SVM
- 支持向量机回归，可用于分析大量数据的回归预测-Support vector machine regression can be used to analyze large amounts of data regression
3
- SVM实例教程，如果对支持向量机有兴趣的人，可以下载来学习，适合初学者，-SVM tutorial examples for beginners
XIAOBOsvm
- 基于小波分析、遗传算法、支持向量机对股指期货进行预测的算法。-Based on the wavelet analysis, genetic algorithms, the algorithm of support vector machine (SVM) to forecast the stock index futures.
svmfenlei
- 利用支持向量机实现非线性分类，通过调节参数改变分类个数-Nonlinear SVM classification, change classification number by adjusting the parameters
3_PSOSVM
- 粒子群改进支持向量机粒子群改进支持向量机-Improved particle swarm particle swarm improved support vector machine SVM
svmdxyy
- SVM支持向量机的典型应用，可用来对故障特征数据进行分类-SVM SVM Typical applications that can be used to classify the fault characteristic data
SVM
- 支持向量机神经网络的实例应用,可以正常运行-SVM neural network application examples
data-classification-by-SVM-
- 使用支持向量机进行数据的分类预测，所需样本数据较少，且预测精度高，分类效果较好。-Using support vector machines for data classification prediction, requires less sample data, and predict high precision, classification better.
SVM-huiguisuanfa
- 运用支持向量机算SVM法进行回归拟合计算，很好用的算法-Support vector machine SVM method to calculate regression calculation, the good algorithm
svmtrainpredict
- 支持向量机svm 在matlab中的训练和测试程序-the training and predicting program of support vector machine written in matab
PSO-SVM
- 粒子群优化算法优化支持向量机（PSO-SVM)-Particle swarm optimization algorithm optimize the SVM
SVM
- 支持向量机源程序代码，用此程序可以进行数据的分类-Support vector machine source code, using this program can be used for data classification
SVM
- 该程序是用R软件实现的，支持向量机的代码。-the code of SVM
SVM
- 支持向量机的一些源码，可以帮助了解掌握其原理以及应用-SVM some source that can help understand the principle and its application
06 支持向量机（Support Vector Machine, SVM）
- 支持向量机代码，很好用的，适合初学者，一起交流一起进步(Support vector machine code, very good, suitable for beginners, together with the progress of communication)