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PSOandSVM
PSO与SVM如何结合及其实际应用 是一篇把这两个算法结合使用的很好文章(PSO and SVM and its practical application of how to combine these two algorithms is a combination of a good article)
- 2009-05-14 19:29:45下载
- 积分：1
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hurst_myfunction
calculate the Hurst exponent
- 2009-05-31 01:54:44下载
- 积分：1
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edge_detection
使用matlab工具，用三种方法实现镜头边缘的检测。(Use of matlab tools, using three methods to achieve the lens edge detection.)
- 2010-02-28 10:39:11下载
- 积分：1
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PSO-Codes
particle swarm optimization codes
- 2011-06-12 14:54:11下载
- 积分：1
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Thesis_Karteek_Gummi
projectreportsimulink bidirectionalconverter
- 2014-01-05 23:13:56下载
- 积分：1
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PV_MPPT
pv mppt modeling, perturb and observation
- 2020-10-04 16:47:39下载
- 积分：1
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matlab
matlab的基本应用，和基础知识，ppt形式的讲解。(matlab basic applications, and basic knowledge, ppt form of explanation.)
- 2011-05-14 21:51:31下载
- 积分：1
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DPCM2
同一张图片的各种不同的显示，以及对图片进行对比，能明显看出其中的不同(different to show the same picture)
- 2010-05-28 17:14:57下载
- 积分：1
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Learning1
math function code of learning methods
- 2013-10-25 03:34:33下载
- 积分：1
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SVM_matlab
利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)
- 2014-01-20 22:14:03下载
- 积分：1
