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svm
- 支持向量机模型用于预测分析效果显著，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and
LSSVM
- 利用最小二乘支持向量机原理，创建了LSSVM预测模型-The principle of least squares support vector machine, created LSSVM prediction model
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
SVM
- 基于支持向量机的对于上证指数的时间序列的预测，附有相关的论文期刊-Support vector machine for forecasting time series of Shanghai Composite Index and related papers
svm1
- 支持向量机回归的程序，实现预测，在matlab平台上实现模型训练和预测(Support vector machine regression program to realize prediction)