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chapter14
- 基于SVM的数据分类预测,意大利葡萄酒种类识别(Data classification and prediction based on SVM and identification of Italy wines)
StockSVM
- svm量化投资模型构建。预测股票的涨跌幅,以k线为基准(analyse stock "up" or 'down',based on svm model and daily k value)
psoSVM
- 粒子群优化支持向量机代码,可用于预测分析(Particle swarm optimization support vector machine code, can be used for predictive analysis)
支持向量机
- 基于支持向量机算法的乳腺癌预测,自带数据,直接可运行!(Support vector machine algorithm based breast cancer prediction, comes with data, can run directly!)
svm
- 基于c++的支持向量机的算法,用于深度学习和神经网络预测(support vector machine algorithm based on cpp)
SVM-分两类
- 可实现数据的分类和预测,共有两种分类方法,两种预测方法(It can realize the classification and prediction of data. There are two kinds of classification methods and two prediction methods)
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机,功能(实现回归预测和分类)(least squares support vector machine)
28 梁晏宾
- 1.采用遗传算法对男女生样本数据中的身高,体重,喜欢数学,喜欢文学,喜欢运动,喜欢模式识别共6个特征进行特征选择,并基于所得到的最佳特征采用SVM设计男女生分类器,并计算模型预测性能(包含SE,SP,ACC和AUC )。要求自行编写代码实现遗传算法。(1. using genetic algorithm based on the sample data of male and female students in height, weight, love mathematics, love li
libsvm-java
- 支持向量回归机的Java代码 可以进行预测(It is the Java code of the support vector regression machine .It can predict unknown data.)
svm分类预测
- wine的数据来源是UCI数据库,记录的是在意大利同一区域里三种不同品种的葡萄酒的化学成分分析,数据里含有178个样本,每个样本含有13个特征向量(化学成分),每个样本的类别标签已给,该程序主要实现意大利葡萄酒种类识别。(The data source for wine is the UCI database, which records the chemical composition of three different varieties of wines in the same area
svmguide4
- libsvm 在matlab 中的应用之多分类预测问题方法一对多(One of many ways to apply libsvm to matlab in multi-classification prediction problem)
SVM_Demo
- 人工智能神经网络深度学习算法;SVM神经网络算法,用软件可靠性的失效数据预测分析;(SVMNu not including two adjacent 1 non-empty string} and prove your conclusion. Four: (20 points) A single accumulator computer and the assembly language contains the usual assembly instructions LOAD, STORE,
信用卡欺诈检测-基于不平衡数据处理的研究
- 信用卡欺诈不平衡数据预测,主要用到的是SVM,python工具,主要是基于数据不平衡进行处理。(Credit card fraud unbalance data prediction, the main use of SVM, python tools, mainly based on data imbalance processing.)
emd toolbox
- SVM案例12 SVM神经网络的数据分类预测-葡萄酒种类识别(SVMCase 12 SVM neural network data classification prediction - wine species identification.)
MTLS-SVM
- 能够实现预测功能方法 ,并且运行后效果良好。(The prediction function method can be realized and the effect is good after operation.)
SVM实例
- 此文件描述的是支持向量机训练与预测算法。(Support vector machine training and prediction algorithm)
GA_SVM
- 遗传算法优化支持向量机算法,从而更好的提高识别率和预测率(GA-SVM implemented by MATLAB)
SVM_tensorflow-master
- SVM通过tensorflow训练iris数据集,寻找最优参数,使误差最小化(SVM trains iris data set through tensorflow to find the optimal parameters and minimize the error.)
多尺度
- 多尺度,小波核svm,有采集的数据,可做预测,适合学习(Multiscale Wavelet kernel svm, with collected data, can be used to predict, suitable for learning)
classifier_D
- 使用SVM分类器来预测乳腺癌病人的预后(特征选择;分类器构建),评价模型时使用无被交叉验证,性能评价指标包括准确率,AUC,灵敏度,特异度。学会最基本的机器学习方法。可查看分发给大家的代码,以后遇到类似的问题,可用相似的思路和代码。(The SVM classifier was used to predict the prognosis of breast cancer patients (feature selection; classifier construction), and the