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svr
为支持向量机代码，源代码为matlab实现，可以做聚类问题(To support vector machine codes)
- 2021-05-14 10:30:02下载
- 积分：1
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insertrows
Insert row in matlab
- 2014-12-07 18:47:03下载
- 积分：1
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pca
This code use Principle Component Analysis(PCA)for feature extraction
- 2013-10-10 19:52:17下载
- 积分：1
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DF
说明： DF Cooperative System 实验系统全系统仿真共享版.(DF Cooperative System-wide system simulation experiment system shared version.)
- 2009-09-25 19:19:00下载
- 积分：1
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jiafa
MATLAB GUI 初学者的必备良花 如果不相信 下载了你就知道了 全部免费 以后多多学习(MATLAB GUI essential for good flower for beginners If you do not believe that you downloaded all the free after that to learn)
- 2010-08-03 22:24:22下载
- 积分：1
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matlab
说明： 演化算法经典教材 入门者必备 很好的 非常深(Teaching beginners classical evolutionary algorithm must be very deep well)
- 2011-04-02 17:36:07下载
- 积分：1
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YALL1_Group_20120223
用于求解组稀疏的matlab代码，可以设置系数为非负。也可以设置分组是否为重叠。(This is a solver for
(1) group-sparse basis pursuit model:
minimize sum_i w_i*||x_{gi}||_2
subject to Ax = b,
x >= 0 (optional),)
- 2021-03-02 14:19:34下载
- 积分：1
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bls_lip_ts
training Takagi-Sugeno fuzzy systems using batch least squares
- 2012-02-09 03:54:58下载
- 积分：1
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BPexample
开发环境:Matlab
简要说明:动量-自适应学习调整算法。在实际应用中，原始的BP算法很难胜任，因此出现了很多的改进算法。BP算法的改进主要有两种途径，一种是采用启发式学习方法，另一种则是采用更有效的优化算法。本例采用动量BP算法，来实现对网络的训练过程，动量法降低了网络对于误差曲面局部细节的敏感性，有效地抑制网络陷于局部极小。(development environment : Matlab Brief Description : Momentum-adaptive learning algorithm adjustments. In practical application, the original BP algorithm competence, resulting in a lot of improved algorithm. BP algorithm improvements There are two main ways of using a heuristic approach to learning Another is the use of a more effective method of optimization. Momentum cases using the BP algorithm to achieve the network training process, Momentum for reducing error of the network for local surface details of the sensitivity, to effectively curb the network into local minima.)
- 2006-09-11 10:13:29下载
- 积分：1
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matlab-code-for-multiple-FFT
这是一个非常全面的关于FFT的程序，适用于matlab分析。(This is a very comprehensive program on the FFT for matlab analysis.)
- 2011-10-24 12:04:05下载
- 积分：1
