Search - SVM time series

[Other] stepthatusetheLIBSVM

Description: 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
Platform: | Size: 4096 | Author: 陈莹 | Hits:

[matlab] svm

Description: 做时间序列预测的svm程序，matlab编的-To do time series prediction of the SVM procedure, matlab series
Platform: | Size: 157696 | Author: 杨美美 | Hits:

[Documents] LS_SVM

Description: svm时间序列做预测,不错的论文希望对大家有帮助-SVM time series making projections, a good paper would like to help everyone
Platform: | Size: 26624 | Author: chen | Hits:

Description: 基于 SVM 时间序列预测教案支持向量机 Support Vector Machines,SVM-Time Series Prediction Based on SVM Support Vector Machine Lesson Plan Support Vector Machines, SVM
Platform: | Size: 713728 | Author: 王刚 | Hits:

[Documents] SVMbasedchaotictimeseriesanalysis

Description: 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
Platform: | Size: 266240 | Author: 付赛男 | Hits:

[AI-NN-PR] TSF-TOOLBOX

Description: 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
Platform: | Size: 126976 | Author: sunyzy | Hits:

[Mathimatics-Numerical algorithms] svm

Description: 做时间序列预测的svm程序,matlab编的-svm program for time series prediction
Platform: | Size: 157696 | Author: hmc | Hits:

[Graph Recognize] kpca

Description: describe kpca in detail
Platform: | Size: 68608 | Author: yuweifeng | Hits:

[matlab] MATLAB-SVM-Improvement

Description: 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.
Platform: | Size: 2048 | Author: 郑坤 | Hits:

[AI-NN-PR] SVM-PREDICT

Description: 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
Platform: | Size: 223232 | Author: eason | Hits:

[AI-NN-PR] SVM

Description: 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
Platform: | Size: 1024 | Author: 姜鹏 | Hits:

[AI-NN-PR] LS-SVM

Description: 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-level grid search and genetic algorithm to optimize the values of hyper parameters
Platform: | Size: 3394560 | Author: 毛玉凤 | Hits:

[Software Engineering] svm-load-forecast

Description: 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
Platform: | Size: 58368 | Author: 花弄月 | Hits:

[Other] Time-Series-Short-Term

Description: 针对神经网络的瓦斯预测模型存在的泛化性能差且存在易陷入局部最优的缺点，提出了基于最小二乘支持向量机(LS-SVM)时间序列瓦斯预测方法．由于标准最小二乘支持向量机 (L孓SVM)要求样本误差分布服从高斯分布，且标准LS-SVM丧失鲁棒性与稀疏性等特点，提出了基于加权LS-SVM的瓦斯时间序列预测的方法，从而提高了标准L孓SVM模型的鲁棒性．其中时间序列的嵌入维数与延迟时间采用了微熵率最小原则进行选取，在此基础上给出了基于加权L孓SVM实现多步时间序列预测的算法实现步骤．最后利用MATLAB 7．1对其进行仿真研究，通过鹤壁十矿1个突出工作面的瓦斯涌出数据实例对模型进行了验证．结果表明，加权 SVM模型比标准的L§SVM明显提高了鲁棒性，可较好地实现时间序列数据的多步预测．-The neural network gas prediction model is poor in generalization performance and easy in fafling into the local optimal value．In order to overcome these shortcomings，we pro— pose the time series gas prediction method of least squares support vector machine(L§SVM)． However，in the LS-SVM case，the sparseness and robustness may lose，and the estimation of the support values iS optimal only in the case of a Gaussian distribution of the error variables． So，this paper proposes the weighted L孓SVM tO overcome these tWO drawbacks．Meanwhile， the optimal embedding dimension and delay time of time series are obtained by the smallest dif— ferential entropy method．On this basis，multi-step time series prediction algorithm steps are given based on the weighted LS-SVM．Finally，the data of gas outburst in working face of Hebi lOth mine iS adopted to validate this model．The results show that the predict effect of shortterm the face gas emission is better using the weighted LS-SVM model than using
Platform: | Size: 490496 | Author: wanggen | Hits:

[Industry research] Heart-Beat-Time-Series-Classification-with-SVM.ra

Description: Heart beat time series calculation III E Research document
Platform: | Size: 312320 | Author: Rajamoorthy | Hits:

[matlab] SVM

Description: 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
Platform: | Size: 404480 | Author: 冯翔 | Hits:

[Special Effects] SVM-regression-theory-and-control-

Description: 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 with linear regression and nonlinear regression, the choice of its model including the selection of nuclear, volume control, and the choice of loss function. In the control of nonlinear time series prediction and application, including system identification and optimization control and learning control research
Platform: | Size: 459776 | Author: mumu | Hits:

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