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sv
说明： 经典控制算法--空间矢量控制模型（已经验证通过）(Space Vector Control)
- 2013-10-15 13:26:33下载
- 积分：1
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spectrum-analysis
该程序可以用来进行波谱分析，非常直观地图示频谱信息。(The program can be used for spectral analysis, spectral information very intuitive icon.)
- 2013-09-15 16:31:09下载
- 积分：1
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code(USPS)(SRC21PELM)
matlab code of A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.(Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.)
- 2014-08-12 17:15:37下载
- 积分：1
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antenna
对于阵列天线以及其他种类天线的2维及3维仿真，可以调节波长，天线长度，以及倾角等参数。(For 2-dimensional and 3-dimensional simulation of the array antenna, and other types of antennas, the wavelength can be adjusted, the antenna length, and the inclination and other parameters.)
- 2015-04-14 16:47:19下载
- 积分：1
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WAVPENE
小波包分析结合能量算法实现特征信号的提取，其中还包含用于测试的轴承数据(Wavelet packet analysis combined with the energy of signal feature extraction algorithm, which also contains the data for bearing test)
- 2015-04-15 11:42:29下载
- 积分：1
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gongyueshu
输入两个正整数m和n，求其最大公约数和最小公倍数。
利用辗除法。(Enter two positive integers m, n, of seeking the common denominator and least common multiple.
The use of rolling division.)
- 2010-01-06 22:35:09下载
- 积分：1
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WaterMarking
Matlab code for semi fragile lsb watermarking with 5 type of attack and vhdl code
- 2015-03-18 05:58:20下载
- 积分：1
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DataSet
这是在机器学习、人工智能、数据挖掘中经常用到的数据集，聚类分析也经常用，包括：UCI的数据集wine,yeast,iris等，还有USPS数据集，4k2_far,leuk72_3k数据集等。(This is in machine learning, artificial intelligence, data mining frequently used data sets, cluster analysis are often used, including: UCI datasets wine, yeast, iris, as well as USPS datasets, 4k2_far, leuk72_3k datasets and so on.)
- 2014-03-23 10:15:49下载
- 积分：1
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LCMV1
LCMV算法的测试，能形成图形自己亲测，比较好的。
(Lms and RLS algorithm simulation, personally tested, can be used, very )
- 2012-05-04 11:50:17下载
- 积分：1
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bilinear
In this paper, we introduce a new machine-learning-based data classification algorithm that is applied
to network intrusion detection. The basic task is to classify network activities (in the network log
as connection records) as normal or abnormal while minimizing misclassification. Although different
classification models have been developed for network intrusion detection, each of them has its strengths
and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the
Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM
method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is
implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC
(Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both
classification rate and run-time efficiency.
- 2013-12-21 13:40:52下载
- 积分：1
