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emd+prony
program for EMD+prony
- 2021-03-07 15:39:31下载
- 积分：1
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chuanrewenti
基于四边单元速度传热问题程序,入门程序，简单易懂，适合初学者对该方法编程的一个初步认识(Based on four sides of the unit rate of heat transfer procedures, entry procedures, easy to understand for beginners to the method of programming a preliminary understanding)
- 2013-11-13 09:42:34下载
- 积分：1
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通过MATLAB矩阵实验室，学习基于小波变换的电能质量扰动分析
说明： 通过MATLAB矩阵实验室，学习基于小波变换的电能质量扰动分析。(Analysis of Power Quality Disturbance Based on Wavelet Transform by MATLAB Matrix Lab.)
- 2017-03-04 16:31:42下载
- 积分：1
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mat
异步电机仿真启动异步电机仿真制动调试异步电机仿真调速
(Simulation of induction motor to start induction motor simulation of braking induction motor simulation speed debugging)
- 2009-10-12 21:18:48下载
- 积分：1
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jamming_cover
雷达宽频带覆盖干扰信号产生时域频谱仿真程序(Wideband radar coverage domain spectral interference signal is generated when the simulation program)
- 2015-01-22 21:14:43下载
- 积分：1
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FFTandDTMF
实现对wav文件的FFT，拟合波形和识别DTMF，具体功能键实验报告(Wav files to achieve the FFT, waveform and fitting recognition DTMF, the specific function key test report)
- 2013-12-10 14:34:32下载
- 积分：1
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mimo_ppt
it is a power point presentation regarding capacity and analysis Multi input multi output system
- 2011-01-18 00:03:09下载
- 积分：1
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TwoMassFigure
Designing of Spring mass system
- 2014-10-09 17:40:47下载
- 积分：1
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K-means.tar
K-Means for clustering
- 2013-04-11 18:58:34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
