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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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sph1
The smooth particle
hydrodynamics (SPH), the diffuse element method (DEM), the element-free Galerkin
method (EFGM), the reproducing kernel particle method (RKPM), the moving-particle
semi-implicit method (MPS) are among others. However, it seems that these meshless
methods have not succeeded in replacing the FEM analysis completely, while they show
excellent performance in several special fields.
- 2010-07-30 02:18:10下载
- 积分：1
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Bsp43
Clasification with feature extraction for two classes
- 2009-12-12 19:56:05下载
- 积分：1
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MATLAB6.0_Math
《Matlab 6.0 数学手册》，详细介绍了Matlab的数学应用。("Matlab 6.0 Mathematics Handbook", detailing the Matlab mathematical application.)
- 2007-03-14 17:29:45下载
- 积分：1
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Solutions-for-SCADA-system-Communication-Reliabil
Solutions for SCADA system Communication Reliability in Photovoltaic Power Plants
- 2014-01-17 11:28:10下载
- 积分：1
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Soup
Numerical simulation of solution of orange droplet in a soup using matlab FEM
- 2010-10-27 11:07:18下载
- 积分：1
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PROFANA
1. It is necessary you have defined on Matlab the X - data matrix. Size of matrix must
be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha - significance
(default = 0.05).
2. For running this file it is necessary to call the rafisher function as
PROFANA(X,alpha). Please see the help PROFANA.
3. Once you input the arguments, it will appears your results. (
1. It is necessary you have defined on Matlab the X- data matrix. Size of matrix must
be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha- significance
(default = 0.05).
2. For running this file it is necessary to call the rafisher function as
PROFANA(X,alpha). Please see the help PROFANA.
3. Once you input the arguments, it will appears your results. )
- 2009-12-23 14:49:09下载
- 积分：1
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Matchedfiltering
说明： 关于匹配滤波的一个很好的外文文档，对了解匹配滤波很有帮助~~~(On matched filtering of a good foreign language documents)
- 2010-04-29 14:34:20下载
- 积分：1
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knn
一个小小的knn-demo，先用knn
做分类器进行分类，再去验证正确率(A small knn-demo, first with knn
Do classifier, go to verify that the correct rate)
- 2014-12-23 21:29:51下载
- 积分：1
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gezhongchaocaiyangfangfadaima
包含了目前常用的各种重采样算法的matlab代码，可直接在滤波算法中调用，不用修改。(Contains a variety of currently used resampling algorithm matlab code, can be directly in the filtering algorithm in the call, need not be amended.)
- 2008-12-23 15:57:14下载
- 积分：1
