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[Software Engineering] 002-svr DL : 0: SVR tutorial Document
Date : 2025-12-25 Size : 379kb User : Micky
[Software Engineering] SVR DL : 0: Support Vector Machine介绍-Support Vector Machine
Date : 2025-12-25 Size : 122kb User : lkh
[Software Engineering] tutorial1.8 DL : 0: LS-SVR1.8工具箱及使用说明,最小二乘支持向量机-LS-SVR MATLAB
Date : 2025-12-25 Size : 2.04mb User : 康业浩
[Software Engineering] fxxkzxtdzcxljbsjmyj DL : 0: 非线性控制系统的支持向量机辨识建模研究针对非线性控制系统辨识建模难的问题，系统研究了基于支持向量机的非线性控制系统的辨识建模理论和方法，然后利用回归型支持向量机( Support Vector Regression， SVR) 设计了一个非线性控制系统的辨识建模系统仿真试验结果表明， SVR 具有很高的建模精度和较强的泛化能力，从而验证了该辨识方法的有效性和先进性。-Nonlinear Control Systems Support Vector Machine Identification Modeling modeling for nonlinear control system identification difficult problem, the system studied based on support vector machine identification modeling nonlinear control systems theory and method, and then use the support vector regression machines (Support Vector Regression, SVR) designed a nonlinear control system identification modeling system simulation results showed that, SVR modeling with high accuracy and generalization ability, in order to verify the validity of the identification method and advanced.
Date : 2025-12-25 Size : 381kb User : 东土大唐
[Software Engineering] tixingguanzi2 DL : 0: 分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.-Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.
Date : 2025-12-25 Size : 4.12mb User : 王斌
[Software Engineering] SVR DL : 0: 基于支持向量机的短波信号盲均衡算法，该算法稀疏性好，性能稳定。-SVM shortwave signal blind equalization algorithm based on the algorithm sparsity, and stable performance.
Date : 2025-12-25 Size : 12kb User : zhao zhenxing
[Software Engineering] svm.cpp DL : 0: This a weighted svr in matlab -This is a weighted svr in matlab
Date : 2025-12-25 Size : 2kb User : Nabil
[Software Engineering] toturial-on-SVR DL : 0: this file is tutorial about support vector regression and is very useful for basic persons that want learn about SVR-this file is tutorial about support vector regression and is very useful for basic persons that want learn about SVR
Date : 2025-12-25 Size : 379kb User : hamid
[Software Engineering] svr_trainer DL : 0: SVR trainer Matlab Code
Date : 2025-12-25 Size : 1kb User : mohammad
[Software Engineering] matlab_SVM-chaopingmian DL : 0: 主要是描述在MATLAB中进行SVR超平面的推导过程，对于理解超平面的确定有很强的指导性-Mainly described in the MATLAB SVR hyperplane derivation process, to understand the determination of hyperplane has a strong guidance
Date : 2025-12-25 Size : 210kb User : 蒋伟杰