搜索资源列表
svmlecture2
- 基于最小二乘支持向量机的系统边际电价预测,是PDF格式的-based on least-squares SVM system marginal price forecast is in PDF format
forecasting-control-based-on-svm
- 关于最小二乘支持向量机的预测控制技术的论文,希望对大家有所帮助-On least squares support vector machine model predictive control technology, the paper, we want to help
Matlab-svm
- 基于Matlab的最小二乘支持向量机的工具箱及其应用_李-The least squares support vector machine (SVM) based on Matlab toolbox and its application _ Li Fangfang
Wind-speed-prediction
- 基于最小二乘支持向量机理论,结合某风电场实测风速数据,建立了最小二乘支持向量机风速预测模型。对该风电场的风速进行了提前1h的预测,其预测的平均绝对百分比误差仅为8.55 ,预测效果比较理想。同时将文中的风速预测模型与神经网络理论、支持向量机(support vector machine,SVM)理论建立的风速预测模型进行了比较。仿真结果表明,文中所提模型在预测精度和运算速度上皆优于其他模型。 -Based on least squares support vector machine the
lssvmMATLAB
- 最小二乘支持向量机,采用matlab编写,可以直接使用,SVM是经典的分类和预测算法。-Squares support vector machine, using matlab prepared, can be used directly, SVM is the classic classification and prediction algorithms.