搜索资源列表
stepthatusetheLIBSVM
- 介绍了用支持向量机方法做时间序列回归和预测的步骤-introduces the SVM methods regression and time series prediction steps
stepthatusetheLIBSVM
- 介绍了用支持向量机方法做时间序列回归和预测的步骤-introduces the SVM methods regression and time series prediction steps
svr
- 一个支持向量回归机的应用!很适合初学者用来做预测!-A support vector regression machine application!Is suitable for beginners to make the forecast!
out-matlab
- SVM回归,用于实现支持向量机(SVM )回归拟合的问题。可以用来做一些短期的预测,如短期负荷预测。-svm regression, used to implement support vector machine (SVM ) Regression fitting problems. Can be used to do some short-term forecasts, such as short-term load f
svm_c
- 支持向量机,做混凝土回归预测的。十分好用的程序-Support vector machines for concrete regression prediction. Very easy to use program
libsvm-mat-2.91-1
- Matlab下支持向量机(SVM)的支持源码,本人主要用这个工具包做预测工作。-Matlab support vector machine (SVM) support source code, I mainly use this kit to do the forecasting work.
ZCXLJ
- 支持向量机和BP神经网络都可以用来做非线性回归拟合,但它们的原理是不相同的,支持向量机基于结构风险最小化理论,普遍认为其泛化能力要比神经网络的强。大量仿真证实,支持向量机的泛化能力强于BP网络,而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合-Support vector machines and BP neural network can be us
svc-Classification
- 支持向量机分类源代码 可以做分类和回归预测用-SVM source code
lissvm
- 最小支持向量机的预测方法 很有效果 我做分类实验一直用这个代码-Support vector machine forecasting method is very effective I have been use this code to do classification experiment
PSO_SVM
- 用粒子群改进支持向量机的智能算法,你可以拿来做预测分析,-Using particle swarm improvement intelligent algorithm of support vector machine (SVM), you can be used to do prediction
预测
- 预测下意识时刻的功率,用支持向量机的模型。(The power of the subconscious moment is predicted using a support vector machine model)