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LS-SVMlab1.5aw
- 一种基于matlab的支持向量机小例子，用于预测，LS-A matlab-based support vector machine small example for the prediction, LS
BP-4
- SVM神经网络的回归预测分析---上证开盘指数预测-SVM neural network regression analysis--- Shanghai opening index prediction
6
- 基于SVM的信息粒化时序回归预测——上证指数开盘指数变化趋势和变化空间预测-SVM-based information granulation Timing regression- Shanghai Composite Index opened index trends and changes in spatial prediction
SVM-regression
- 基于SVM的回归预测算法，用于开始学习支持向量机，详细，简单，具体-SVM regression prediction algorithm based on support vector machines for start learning, detailed, simple, specific
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.
WineClass
- 基于SVM的数据分类预测——意大利葡萄酒种类识别,SVM网络预测,结果分析-SVM-based data classification prediction- Italian Wine type recognition, SVM network prediction results analysis
svm
- SVM神经网络的数据分类预测-葡萄酒种类识别，能够很好地预测葡萄酒种类。-SVM neural network data classification prediction- wine species identification, can be a good predictor of wine types.
chapter14
- 基于svm的数据分类预测，数据集是意大利葡萄酒种类的数据集，对葡萄酒进行种类识别以及分类。-Based on the svm data classification prediction, the data set is the Italian wine category data set, the wine species identification and classification.