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MATLAB.doc
边界层厚度损失分析的matlab程序
很实用!(boundary layer thickness loss analysis Matlab procedure very practical!)
- 2007-01-10 15:29:38下载
- 积分：1
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Heart-strain
Hear PRESSURE PLOTTING
- 2014-10-27 15:35:52下载
- 积分：1
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Myzhufenliangfenxi123
主分量分析是一种基本的多维数据描述方法，是一种能使多维数据按照实际研究的需要更好地描述出来的变换方法。(Principal component analysis is a basic description of the method of multidimensional data is a multidimensional data in accordance with the needs of the actual research to better describe the transformation method can make.)
- 2014-09-25 20:01:02下载
- 积分：1
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couple_Lpfg
计算两根平行的长周期光纤光纤光栅之间的偶和效率与光栅长度以及光栅之间的偏移量offset的关系(calculating the coupling efficiency of two parallel identical long-period fiber gratings)
- 2013-09-27 10:49:18下载
- 积分：1
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export2mdb
这个文件实现把matlab中的数据先输出给txt文件，再输入到access数据库中。(This file implements the to matlab data output to a txt file, and then enter the access database.)
- 2012-11-04 20:11:24下载
- 积分：1
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Michelson1
说明： 使用matlab模拟迈克尔逊干涉等厚、等倾干涉图样(Simulation of Michelson interference equal thickness interference pattern with MATLAB)
- 2020-12-05 21:39:12下载
- 积分：1
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NewK-means-clustering-algorithm
说明： 珍藏版，可实现，新K均值聚类算法，分为如下几个步骤：
一、初始化聚类中心
1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。
2、用前C个样本作为初始聚类中心。
3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。
二、初始聚类
1、按就近原则将样本归入各聚类中心所代表的类中。
2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。
三、判断聚类是否合理
采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps:
A, initialize clustering center
1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center.
2, with former C a sample as the initial clustering center.
3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center.
Second, initial clustering
1, according to the sample into the nearest principle clustering center represents the class.
2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class.
Three, judge clustering is reasonable
Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)
- 2011-04-06 20:45:56下载
- 积分：1
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BIDIRECTIONAL_SMOOTHNESS_MUSIC
空间谱估计算法中的MUSIC算法中的双向平滑空间算法(Spatial Spectrum in the bi-directional smoothing MUSIC algorithm space algorithm)
- 2011-05-20 14:28:54下载
- 积分：1
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matlabbasic6
神经网络的实例 ，用于图象的处理和模式识别(examples of neural networks for image processing and pattern recognition)
- 2007-05-18 10:16:05下载
- 积分：1
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TD6-2012-sources
file for the resolution of the transport equation
With an implicit scheme
- 2013-12-24 06:07:34下载
- 积分：1
