搜索资源列表
C
- c语言例题程序，还有最小二乘法支持向量机的MATLAB调试测试运行-Example programs c language, as well as least squares support vector machines to run MATLAB Debugging and Testing
ApplicationofLeastSquareSupportVectorMachine
- 基于粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法预测混沌序列-anessayaboutchaospredictionbyPSOLSSVM
bayes
- matlab 贝叶斯推断优化最小二乘支持向量机参数的实例，速度更快-matlab Bayesian least squares support vector machine parameter optimization instance, faster
LS_SVM
- 最小二乘支持向量机，LS_SVM.m为主函数，normalization.m为归一化函数，release.m为反归一化函数。-Least squares support vector machine, LS_SVM.m is the main function, normalization.m is the normalization function, release.m is the normalization function.
ls-svmlsb1.5
- 最小二乘支持向量机（来自于互联网，本人测试过，好使）-Least squares support vector machine (from the Internet, I tested, so that)
LS_SVMlab
- 最小二乘支持向量机的程序包，包括了模型的训练和测试的各种函数。-Support Vector Machine package, including training and testing models of various functions.
LS-SVMlab1.5(advanced)
- 最小二乘支持向量机算法程序，可用于解决多类分类问题-Least squares support vector machine procedures that can be used to solve multi-class problem
nonlinear(exp)_FLSSVM
- 基于模糊的最小二乘支持向量机，可用于分类，效果较好。-Fuzzy least squares support vector machine can be used for classification, the effect is better.
LS-SVMlab-GA
- 用遗传算法优化的最小二乘支持向量机，简单易用，可移植性强，通用性好，程序特别的全。-Using genetic algorithm least squares support vector machine, easy to use, portability, common good, especially the whole program.
LS-SVM-toolbox
- 最新最小二乘支持向量机工具箱和使用说明,里面有详细的说明和实例-the latest LS-SVM toolbox for matlab
最小二乘支持向量机
- 该程序为最小二乘支持向量机程序，可以用于非线性回归和分类
LSSVM
- 用最小二乘支持向量机实现负荷预测功能，计算各个误差指标的值，并输出负荷预测对比曲线，误差曲线等(The load forecasting function is realized by least square support vector machines (LSSVM). The values of each error index are calculated, and the load forecast contrast cur
lssvm
- 最小二乘支持向量机解决拟合和模式识别等多种问题，包含所有源码(Least squares support vector machines to solve a variety of problems such as fitting and pattern recognition, including all source code)
支持向量机故障诊断及控制技术
- 有支持向量机分类和回归的代码，以及最小二乘支持向量机的代码。(support vector machine)
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机，很好用，里面有很多子文件，话音大家(Least squares support vector machine, very good use)
预测
- 最近写关于最小二乘支持向量机的时间序列预测 搜到的一些很有参考性的论文(Some of the most referential papers recently written about the time series of the least squares support vector machine)
SVM_Short-term-Load-Forecasting2
- 本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测
Parameter optimization
- 代码很齐全，包括用 最小二乘支持向量机进行参数优化，曲线拟合等(The code is complete, including parameter optimization, curve fitting and so on using least squares support vector machine.)
PSO_lssvm
- 粒子群算法优化最小二乘支持向量机，亲测可用，按照命令来就好(Particle Swarm Optimization for Least Squares Support Vector Machines)
加权最小二乘支持向量机
- 里面有详细的支持向量机、最小二乘支持向量机、加权最小二成支持向量机