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
TSF-TOOLBOX.基于支持向量机的时间序列工具箱
- 基于支持向量机的时间序列工具箱，用svm作时间序列预测,Based on support vector machines time series toolbox for time series prediction using svm
SVMbasedchaotictimeseriesanalysis
- 基于SVM的混沌时间序列分析 把SVM优化算法用于混沌时间序列分析 可以得到优于一些方法的结果-SVM-based chaotic time series analysis of the SVM optimization algorithm for chaotic time series analysis methods can be superior to the results of
svm
- 做时间序列预测的svm程序,matlab编的-svm program for time series prediction
kpca
- describe kpca in detail
MATLAB-SVM-Improvement
- 快速实现预测，SVM方法改进，混沌时间序列。注意：7.0版本以上SVM数据包qp.dll不能运行，需要改。-Rapid realization of prediction, SVM method to improve, chaotic time series. Note: The 7.0 version of the above packet qp.dll SVM can not run, needs to change.
SVM-PREDICT
- SVM神经网络的信息粒化时序回归预测----上证指数开盘指数变化趋势和变化空间预测-Information Granular SVM neural network time series regression of the Shanghai Composite Index opened---- Index forecast trends and changes in space
SVM
- 实现时间序列预测，相空间重构的方法可以对时间序列做一一对应的映射，效果非常的好-Realize the time series prediction, phase space reconstruction method can do for time series one-to-one mapping,, the effect is very good
svm_time
- 做时间序列预测的svm程序,matlab编的，多种时间序列预测模型-Time series prediction svm program, matlab code, and a variety of time-series forecasting model
LS-SVM
- 本文主要研究 LS-SVM 算法的基本原理及基于其实现时间序列预测 的方法。针对超参数选择困难的问题，采用多级网格搜索和遗传算法的方法对 超参数的取值进行优化-This paper studies the basic principles of the LS-SVM algorithm and time series prediction based on its implementation. Difficult to select for hyper parameter, multi
BTSF-TOOLBOXa
- 基于支持向量机的时间序列工具箱，用用svm作时间序列预测可直接使用-Based on support vector machines time series toolbox, with svm for time series prediction can be used directly
svm-load-forecast
- 本文介绍了支持向量机进行电力负荷时间序列的预测-This article describes a support vector machine to power load time series prediction
Heart-Beat-Time-Series-Classification-with-SVM.ra
- Heart beat time series calculation III E Research document
SVM
- SVM神经网络的信息粒化时序回归预测 遗传算法的典型实例-SVM neural network information granulation typical examples of the time series regression to predict genetic algorithm
SVM-regression-theory-and-control-
- 支持向量机回归理论与神经网络等非线性回归理论相比具有许多独特的优点有线性回归和非线性回归,其模型的选 择包括核的选择、容量控制以及损失函数的选择.在控制方面的研究包括非线性 时间序列 的预测及应用、系统辨识以及优化控制和学习控制等方面的研究-Support vector machine (SVM) regression theory and neural network has many unique advantages such as nonlinear regression theory
svm
- svm预测时间序列，源码在txt文件里，需要的请自行输入到MATLAB里实现-svm time series forecasting, source code in txt file, need to enter on their own to achieve in MATLAB
SVM
- 基于支持向量机的对于上证指数的时间序列的预测，附有相关的论文期刊-Support vector machine for forecasting time series of Shanghai Composite Index and related papers
SVM
- SVM neural network information granulation time series regression forecast
SVM神经网络的信息粒化时序回归预测
- SVM神经网络的信息粒化时序回归预测,人工智能算法(Time series regression prediction of information granulation based on SVM neural network)
prediction SVM
- 用SVM做预测的matlab程序,内部程序详细，包含数据(a program to predict time series)