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simulink
很好的MATLAB学习资料，简单易懂，希望对大家有所帮助，！(good works！)
- 2009-02-14 16:31:00下载
- 积分：1
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1d
说明： 一维FDTD的可视化实现，注释详细完备，适合初学者。光在一D真空中的传播。(The one-dimensional FDTD visualization of complete, detailed notes, suitable for beginners. That light travels in a vacuum in communication of D)
- 2012-04-18 12:28:22下载
- 积分：1
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Johnson
matlab实现机器生产排序问题最优解
(matlab machine production scheduling problem to achieve the optimal solution )
- 2011-09-02 16:05:59下载
- 积分：1
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mobile-inverted-pendulum
非常漂亮的实时展示，可自由观看，并附有非常详尽的分析介绍和移动式 simulink 的模型(very beautiful 3D display, can move around watch, with a very detailed presentation and analysis and simulink model of mobile inverted pendulum
)
- 2012-11-28 21:51:58下载
- 积分：1
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h263_incoder
This is multimedia file (avi and etc.) incoders using MATLAB
It is implementing H.263 incoders,
but unfortunally it s comments are written by Korean.
- 2010-08-16 20:07:45下载
- 积分：1
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PWE.tar
用平面波展开法计算光子晶体的matlab程序(compute the bandgap of photonic crystal using pwe )
- 2009-10-13 11:35:25下载
- 积分：1
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caiyang
说明： caiyang 演示采样定理，时域采样，频谱周期延拓(caiyang demonstration sampling theorem, time domain, frequency cycle Extension)
- 2006-03-12 11:13:13下载
- 积分：1
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compositeFINALmax
四边简支的复合材料层合板基于遗传算法的的最佳铺层顺序求解(Solution of the Best Laying Sequence of Simply Supported Composite Laminates Based on Genetic Algorithms)
- 2021-02-20 18:19:43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
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tvpvar_m
说明： Nakajima tvp-var 代码 matlab 代码(Nakajima tvp-var code matlab code)
- 2020-11-04 09:19:52下载
- 积分：1
