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
分类算法
- 最小二乘支持向量机分类
采用遗传算法优化最小二乘支持向量机参数的方法
- 采用遗传算法优化最小二乘支持向量机参数的方法
最小二乘支持向量机
- 最小二乘支持向量机
LSSVMstudy
- 对学习最小二乘法的初学者有很大的帮助的一篇文章最小二乘支持向量机算法及应用研究-Least square method of learning is very useful to beginners in an article- least squares support vector machine algorithm and applied research
Basedonleastsquaressupportvectormachinemodelingoft
- 基于最小二乘支持向量机建模的电液伺服系统故障检测方法 -Based on least squares support vector machine modeling of the electro hydraulic servo system fault detection method
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
LSSVMlab-Toolbox-Users-Guide
- 最小二乘支持向量机LSSVM工具箱使用指南中文版-LS-SVMlab Toolbox User’s Guide in Chinese
wangzhiqiang
- 中南大学学报上的最小二乘支持向量机火灾信号辨识论文更多文章可以去文韬论文援助网免费下载 www.bysjaid.com -Central South University of Technology on least squares support vector machine fire signal recognition more articles can go Wentao thesis Assistance Network Free www.bysjaid.com
PSO-LSSVM
- ：针对暖通空调(小，AC)系统，提出一种基于粒子群优化(Pso)算法和最小二乘支持向量机(LSSVM)的预测控 制方法。-: For HVAC (small, AC) system is proposed based on particle swarm optimization (Pso) algorithm and least squares support vector machine (LSSVM) predictive control methods.
tutorial1.8
- LS-SVR1.8工具箱及使用说明,最小二乘支持向量机-LS-SVR MATLAB
lssvmprediction
- 最小二乘支持向量机做预测。程序可运行学习。在matlab上运行。-This is a program about prediction using LSSVM.It can run successfully for learning.This program can be used on matlab.
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
genetic-algorithms-
- 采用遗传算法优化最小二乘支持向量机参数的方法-Using genetic algorithms to optimize the parameters of least squares support vector machine approach
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
LSSVR1
- 利用最小二乘支持向量机实现无线传感器网络的目标定位-The use of least squares support vector machine to achieve targeting wireless sensor networks
LSSVR2
- 利用最小二乘支持向量机实现无线传感器网络的目标定位1-The use of least squares support vector machine to achieve targeting wireless sensor networks1
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.
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)
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