搜索资源列表
svm-predict
- 支持向量机算法预测部分，主要是针对大规模对象进行预测-Support Vector Machine forecast, mainly for large-scale objects to predict
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
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
- 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
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.
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
svmpredict
- 支持向量机分类函数,用于故障分类预测的正确率计算法函数-Support vector machine classification function,The correct rate of classification for fault prediction method of calculating function
huishangguanlian
- 相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好.--Relevance Vector Machine (RVM) of the mat
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
- 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
ceshi
- 支持向量机分类预测应用例子，大家可以-Support vector machine (SVM) classification forecasting
chapter29
- 支持向量机的回归拟合_混凝土抗压强度预测数据预测-Support vector machine (SVM) regression fitting _ forecast data to predict the compressive strength of concrete
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)