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C_AntClusterKnown
蚁群聚类算法程序。可以用来做基本的蝶形数据测试。效果很好。(Ant Colony Clustering Algorithm procedures. Can be used to make basic test butterfly data. Good effect.)
- 2008-05-31 10:06:15下载
- 积分:1
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blur
此程序用来模拟仿真光学系统的传递函数(MTF),将MTF进行参数化处理。(This procedure is used to simulate the transfer function of the optical system simulation (MTF.)
- 2011-01-04 12:14:29下载
- 积分:1
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xiaotaobaobaomatlabgerenzhizuo
这个是本人自己做的一个matlab程序,希望大家可以能用到,2.4.6....32变为灰度(this is the doing of a Matlab procedures in the hope that we can use to be, 2.4.6 .... 32 into gray)
- 2007-04-20 19:46:57下载
- 积分:1
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soundprocessing
基于matlab对语音信号进行频谱分析,加入高斯噪声,再使用FIR高通、巴特沃斯低通、FIR带通滤波器进行滤波处理(Spectral analysis of the speech signal, adding Gaussian noise, and then use high-pass, low pass, band pass filter for filtering)
- 2011-07-20 15:28:32下载
- 积分:1
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d-s_for_matlab
matlab实现的D-S证据理论代码实现(the matlab implementation DS evidence theory code to achieve)
- 2013-03-20 23:07:01下载
- 积分:1
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HMM(matlab)
MATLAB的hmm工具箱,可以计算连续HMM和离散HMM。里面有使用说明的网页链接,直接点击一下(Download HMMtoolbox)就可以了,很简单。(Hmm toolbox of MATLAB, you can calculate the continuous the HMM and discrete HMM. There are instructions for use of the web links, directly click the (Download HMMtoolbox) can very simple.)
- 2012-12-03 18:04:59下载
- 积分:1
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NumberToTextFrench
Return a number in to french
- 2015-01-02 22:43:18下载
- 积分:1
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facedetection
基于matlab的简单的人脸识别的代码,希望对大家有用(face detection)
- 2015-01-12 13:16:36下载
- 积分:1
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Laplace_FDM_edit
FDM method in Laplace problem
- 2014-01-13 16:51:50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