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featureSelection
利用保留交叉验证(hold-out)的特征选择,有筛选排序的功能,并最终可以输出对应特征下标。(The use of cross-validation reserved (hold-out) feature selection, there is sort of filtering function, and eventually you can output the corresponding feature subscript.)
- 2013-08-11 10:26:17下载
- 积分:1
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oqpsk1001
软判决在OQPSK解调中实现对信号纠错的分析与纠错的(Soft-decision in the OQPSK demodulator to achieve error correction signal analysis and error correction)
- 2008-12-17 20:35:11下载
- 积分:1
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VCmatlab
利用matlab提供的引擎接口函数与VC联合开发编程,可在VC中充分发挥matlab强大的数值运算功能,弥补VC中数值运算函数的不足(err)
- 2008-01-08 11:23:02下载
- 积分:1
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dc_motor_lib_v2
Dc motor control in matlab
- 2009-11-22 20:51:21下载
- 积分:1
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pattern-recognition-
这是一个关于图像识别的程序,可以根据图像中的某些点,识别出图像的形状(This is a program on the image recognition, according to some point in the image, identify the shape of the image)
- 2011-01-20 14:01:49下载
- 积分:1
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QAM
星形QAM调制程度,用MATLAB仿真...请大家共享(The degree of star QAM modulation, using MATLAB simulation ... please share)
- 2007-09-26 13:20:01下载
- 积分:1
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optimizationofa50DfunctionuseGA
说明: 遗传算法实现50维函数优化,代码简单易懂,适合初学者。(Genetic algorithm of 50-dimensional function optimization, code easy-to-read, suitable for beginners.)
- 2008-09-21 14:25:25下载
- 积分:1
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circle
说明: 有限元例子,适用于自适应网格算法,这只是一部分,还有后传!(finite element)
- 2010-04-14 10:25:17下载
- 积分:1
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src
How to use the ordinary Voronoi partition generator. The m-files also have
their own help documentation that you can view in Matlab. This code creates
a bounding polygon that is a square. Then it randomly creates 10 points
and then creates and draws the partition.
bounds = [0, 10, 10, 0 0, 0, 10, 10]
points = 10 * rand(2, 10)
regions = voronoi(bounds, points)
drawRegions(bounds, regions)
================================
This is a brief set of instructions on how to use the Multiplicatively-
weighted Voronoi partition generator.
Each of the m-files has a help section, so in Matlab you can call:
help mwvoronoi
help drawRegions
Here is an example that creates a bounding polygon, a square with side
length 10. Then it randomly creates six points with random weights.
Finally, the code draws the resulting partition.
bounds = [0, 10, 10, 0 0, 0, 10, 10]
points = 10 * rand(3, 6)
regions = mwvoronoi(bounds, points)
drawRegions(bounds, regions)
Enjoy!
- 2013-10-30 12:23:18下载
- 积分:1
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LR
Logistic Regression Classifier
- 2013-05-05 08:16:28下载
- 积分:1