-
On-Mixing-Fingerprints
finger print knowledge sharing with two type of datas
- 2015-04-20 13:51:40下载
- 积分：1
-
matlab
This it the code to describe rayleigh distribution
- 2013-07-31 10:55:34下载
- 积分：1
-
Tpsddmatlaabh
本程序源码仿真了功率谱密度，供供有关人士下载学习
(The program source code simulation of the power spectral density for the download to learn for the person concerned)
- 2012-07-11 10:54:02下载
- 积分：1
-
guassdisti
对模糊变量进行随机化，并用高斯分布进行概率求解，无密码(pair of fuzzy random variables, and using Gaussian probability distribution solution without passwords)
- 2021-02-23 11:39:40下载
- 积分：1
-
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
-
chap2_09_RGC
系统辨识与自适应控制MATLAB仿真教材里递推梯度校正估计算法的参数估计的matlab实现的程序(System identification and adaptive control of MATLAB simulation in the textbook recursive gradient correction estimation algorithm to estimate the parameters of the matlab program)
- 2015-02-03 18:07:24下载
- 积分：1
-
2p3
turbo码高码率2/3码率的matlab编码实现，译码方式为log-MAP算法，删除矩阵为[1 1 1 0](achieve high rate of turbo codes)
- 2015-04-13 08:55:15下载
- 积分：1
-
m-dsp-pro
说明： 以上是MATLAB编写的一些程序，用于产生一些基本的信号。(prepared by the procedures used to produce some of the basic signal.)
- 2006-04-20 19:36:51下载
- 积分：1
-
S2
说明： mfile in matlab about jame machin elec
- 2013-08-21 15:55:56下载
- 积分：1
-
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
