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Numerical-analysis-tutorial
21世纪高等院校创新教材,对数值计算的多种方法进行说明,并有实验说明,是现在研究生教育使用教材。(Innovation teaching material in colleges and universities in the 21st century, a variety of methods of numerical calculation, and experiments shows that graduate education is now using the teaching materials.
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- 2013-05-07 20:43:53下载
- 积分:1
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copula函数拟合出来后,通过计算各类copula函数的aic值aic_account
说明: copula函数拟合出来后,通过计算各类copula函数的aic值,找到最佳的copula二元分布模型(Calculating AIC values of different Copula Functions)
- 2020-11-10 09:59:46下载
- 积分:1
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deec_variants
Matalab code for deec variants protocols
- 2015-01-03 13:39:01下载
- 积分:1
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qam_ofdm_commtoolbox
Design and analyze of qam ofdm technique for wimax physical layer of communication systems
- 2013-04-24 21:26:52下载
- 积分:1
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gs
这是经典的G-S算法matlab程序源代码,希望对大伙有帮助!!!!
(this is G-S algorithm ,hope will help you all!)
- 2014-02-12 10:03:37下载
- 积分:1
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FIR
窗函数法滤波器设计程序 对学习数字信号处理很有用(Filter window function method to study the design process of digital signal processing useful)
- 2009-04-30 00:41:53下载
- 积分:1
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Simulation-and-Modeling-of-the-PMSM-
Simulation and Modeling of the PMSM Servo System
- 2011-07-02 11:09:54下载
- 积分:1
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EAMMH.m
matlab code for EAMMH routing protocol for WSN
- 2015-02-22 20:06:16下载
- 积分:1
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xerrorbarcc
xerrorbar - Just like errorbar, but for uncertainty in x
- 2013-10-25 17:17:44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