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borrowm
matalab程序好用便捷，关于宏观经济，有增长，有波动研究。(matalab program easy to use and convenient, on the macro economy, there is growth, there are fluctuations in research.)
- 2009-09-12 16:25:00下载
- 积分：1
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hale-tamrin
it is for macrowawe and antenna
that is very good
- 2013-11-05 23:24:33下载
- 积分：1
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MATLAB
vi du cho thuc hanh matlab
- 2013-04-07 19:53:30下载
- 积分：1
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Horn-Schunck-optical-flow-method
Horn-Schunck optical flow method是光流法处理的一种经典方法。希望对学习光流的朋友提供帮助。(Horn-Schunck optical flow method is the optical flow method of treatment of a classic. I hope to learn optical flow of a friend to help.)
- 2011-12-01 19:59:58下载
- 积分：1
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svslms
最新的基于S函数的变步长自适应滤波算法，比传统的算法收敛速度更快(The latest variable step adaptive filtering algorithm based on S function is faster than the traditional algorithm converges )
- 2021-03-07 16:29:29下载
- 积分：1
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HNwindow
该代码主要是在ABAQUS软件平台上给特定的薄板一定的激励信号，用来激发超声导波模态的形成(Ultrasound guided wave excitation signal)
- 2020-09-07 17:48:03下载
- 积分：1
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Kernel_PCA
基于核的主分量分析方法的提出者亲自写的程序（基于MATLAB(a MATLAB m-file of Kernel PCA)
- 2009-09-26 20:18:08下载
- 积分：1
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IIRdigitalfilter
说明： 数字信号处理及MATLAB实现
IIR digital filter(IIR digital filter)
- 2009-04-19 14:04:37下载
- 积分：1
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Chapter-9-Data-Analysis
该为matlab详尽学些资料第八章“数据分析”(Learn some of the detailed information for the matlab Chapter 8, " Data Analysis" )
- 2013-07-23 20:32:25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
