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music_plane
阵列结构为面阵,在面阵的基础上进行求解music谱。(Array array structure, based on a planar array to solve music )
- 2020-09-21 15:37:53下载
- 积分:1
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GA_TSP
基于遗传算法的TSP算法,寻找最短的遍历N个城市的路径(TSP algorithm based on genetic algorithm to find the shortest path traversal N cities)
- 2013-11-10 12:33:14下载
- 积分:1
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newton
solution to nonlinear equations useing newton methode
- 2011-07-07 13:31:21下载
- 积分:1
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waveletMultiFrame
the file is contains code for wavelet transform
- 2015-03-05 13:40:06下载
- 积分:1
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seagrid
说明: 一些制作正交曲线网格的matlab源程序(produced some curves orthogonal grid Matlab source)
- 2006-03-25 11:04:38下载
- 积分:1
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DescGen_v1.0
将叶轮的几何参数保存为desc格式,以便ISIGHT调用进行叶型优化。(compressor wheel,geometrical optimization,geometry parameter,desc,axcent,isight)
- 2016-01-16 20:36:32下载
- 积分:1
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ANewAdvancedGeneticAlgorithmfor
A New Advanced Genetic Algorithm for Optimal unit commitment
- 2010-07-12 01:46:14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
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ICA-app
ica application algorithm to classify data in an supervised way
- 2009-11-24 19:45:53下载
- 积分:1
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shiyan
离散时间信号的变换域分析,求信号的单边Z变换,求Z反变换(Transform domain analysis of discrete time signal, unilateral Z transform for the signal, and inverse Z transform
)
- 2013-09-12 15:09:47下载
- 积分:1