搜索资源列表
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机工具箱，学习算法，好工具-tool bax
LS_SVMlab
- 本程序是SVM工具箱中最常用的LSSVM工具箱。LSSVM即最小二乘支持向量机，在机械故障分类中有着独特的优势，亲测有用！ 希望能够帮助到有需要的同学！-this is a powerful and useful program for fualt diagnosis based on SVM,called LSSVM.I hope this program will help you.good luck!
网格优化最小二乘支持向量机
- 本程序是应用网格搜索LSSVM的两个重要参数，可用于制冷系统的故障诊断，准确率可高达99%
lssvm工具箱
- 适用于matlab的最小二乘支持向量机的工具箱，里面含有很多调用的函数。
LSSVR
- 此段代码是最小二乘支持向量机的源代码，功能是实现某些样本数据的预测-This code is the least squares support vector machine (SVM) of the source code, function is to realize the prediction of some sample data
LSSVMlabv1_8_R2009b_R2011a
- matlab LSSVM matlab最小二乘支持向量机工具箱-matlab LSSVM
4
- 最小二乘支持向量机回归分析源代码,LSSVM-Least squares support vector machine regression analysis source code
lssvm
- 用于lssvm（最小二乘支持向量机）的单序列拟合预测一个周期（12期）-Used in the LSSVM (least squares support vector machine) fitting to predict a single sequence cycle (12)
Wind-Speed-Combined-Prediction
- 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed pr
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机MATLAB工具包，MATLAB必须有这个工具包才能够运行最小二乘支持向量机的程序-LSSVM MATLAB tool kit, MATLAB must have the kit to be able to run a program LSSVM
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机工具包,可以应用于回归和分类，也可进行预测-LSSVM Kit
LSSVM-LEARNING
- 最小二乘支持向量机的源码以及其应用示例代码-LSSVM source and its application sample code
lssvm-regression-code
- 基于LSSVM的最小二乘支持向量机回归程序，预测地基沉降，单因变量LSSVM回归算法 -lssvm the program，least squares support vector machine, easy to use
svm-confidence-interval
- lssvm 最小二乘支持向量机回归模型置信区间预测, 简单易用,易懂易学-least squares support vector machine
LSSVMlabv1_8_R2006a_R2009a
- 多输入多输出最小二乘支持向量机，多输入多输出最小二乘支持向量回归机，-lssvm，Multi-output least-squares support vector regression machines
svm--classification
- 基于支持向量机的图像分类，含有各种图像分类实例，以及最小二乘支持向量机优化算法-Image classification based on support vector machine, including various image classification examples, and least squares support vector machine optimization algorithm
LSSVMatlab
- lssvm源代码用于最小二乘支持向量机的Matlab程序代码，可直接实用。(For the least squares support vector machine Matlab program code, can be directly practical.)
LS_SVMlab
- 最小二乘支持向量机lssvmMATLAB代码可以实现分类和回归处理(Least squares support vector machine lssvmMATLAB code can be achieved classification and regression processing)
lssvm
- 最小二乘支持向量机回归，四个插入数据分别为训练输入、训练输出、测试输入、测试输出。工具包+程序(Least squares support vector regression (SVM), the four inserted data are training input, training output, test input and test output)
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机，功能（实现回归预测和分类）(least squares support vector machine)