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SVM-Matlab6
说明： 支持向量机的MATLAB程序，对支持向量机学习很有帮助(MATLAB support vector machine procedures, helpful support vector machine learning)
- 2011-03-15 11:56:23下载
- 积分：1
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magnetic-ball
由磁悬浮小球的状态空间模型计算出其鲁棒控制器，并在simulink模型中对鲁棒控制器的性能进行了验证。(Magnetic levitation ball from the state-space model to calculate the robust controller and in simulink model for robust controller performance is verified.)
- 2013-08-30 15:21:29下载
- 积分：1
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yangben600
可以产生不同调制方式的信号，包括bpsk,qpsk,fsk,msk,16qam,64qam.可以产生不同的样本。(Can generate a signal of different modulation methods, including bpsk, qpsk, fsk, msk, 16qam, 64qam. Can produce different samples.)
- 2015-02-02 18:27:15下载
- 积分：1
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poddem
用于对复杂流场的POD分析，对流场结构进行解构重组(PODDEM is a state of the art detection and estimation method for outliers in Particle Image Velocimetry data. PODDEM can be used on two-dimension and three dimensional data, with up to three velocity components.)
- 2020-11-18 21:59:39下载
- 积分：1
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DMC_Algorithm
动态矩阵预测控制m语言程序，使用平台matlab。DMC算法 加热炉(dynamic matrix predictive control language program, use the platform matlab。DMC algorithm furnace)
- 2020-12-23 15:29:06下载
- 积分：1
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waterfilling-in-mimo-channels
MIMO信道条件下进行功率分配实现最优的吞吐量的一个算法过程(power control method in mimo channels)
- 2014-09-20 20:28:00下载
- 积分：1
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SV8-Demo
实现定时控制，非常实用，可以直接调用，有需要的可以下载(Achieve timing control, very practical, you can directly call the need to be downloaded)
- 2013-12-31 09:46:41下载
- 积分：1
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New-Folder
i need matlab codes for this documents on electronics
- 2012-02-06 11:25:55下载
- 积分：1
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MST_Kruskal
krushal 算法 最小生成树 matlab(krushal)
- 2010-07-02 18:12:04下载
- 积分：1
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优秀论文及配套源码 SVM Short-term-Load-Forecasting
优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；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，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )
- 2021-04-01 17:09:08下载
- 积分：1
