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Euler(matlab)_CanTestWithImage
计算图像中的欧拉数，经典代码，采用matlab实现，可以熟悉欧拉数的求法，及相关MATLAB函数的用法，带图片可测试。(calculated image of Euler number, classic code using Matlab realized, could familiar with the Euler number for the law, MATLAB functions and related usage, with pictures can be tested.)
- 2006-11-02 12:25:03下载
- 积分：1
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source_matlab
mô phỏ ng watermaking
- 2013-11-27 00:54:10下载
- 积分：1
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sat_orbit
satellite orbit visualization
- 2014-01-28 05:14:26下载
- 积分：1
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My_Mul
用matlab编写的muller（抛物线）法求解函数零点(Using matlab written muller (parabolic) Method Function )
- 2009-10-19 18:23:09下载
- 积分：1
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Fuzzy-control-of-water-tank
智能控制理论的课程设计实例，关于双容水箱的模糊控制，具有任务书和源代码。(Intelligent control theory curriculum design example, two-tank on the fuzzy control, with the mission statement and source code.)
- 2011-05-10 16:42:20下载
- 积分：1
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MATLAB
自己初学matlab，编写的一些小程序，希望对初学者有帮助。(Their novice matlab, small programs written in the hope that helpful for beginners.)
- 2011-08-08 22:06:18下载
- 积分：1
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四阶Runge-Kutta法解常微分方程组
说明： 四阶Runge-Kutta法解常微分方程组(Fourth Order Runge-Kutta Method for Solving Ordinary Differential Equations)
- 2020-12-17 09:49:11下载
- 积分：1
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NNMATLAB
neural network matlab example
- 2009-10-17 15:00:29下载
- 积分：1
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matlabchengxushiyanquanji
学校内部老师编写最全MATLAB试验全集代码。保证能正常运行，非常多的常用实验(The preparation of all teachers within the school' s most complete works MATLAB test code. Guarantee the normal operation, a lot of common experimental)
- 2010-05-25 15:20:37下载
- 积分：1
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OMB_DHC
该matlab代码实现了“综合多分支分裂式层次化聚类”
(Matlab implementation of Omnibus Multi-Branching Divisive Hierarchical Clustering (OMBDHC)
“A competitive omnibus performance criterion for divisive multi-branching
hierarchical clustering” by Soeria-Atmadja et al. (submitted). Note that OMB-DHC package
is implemented in Matlab code and therefore demands the Matlab core program, as well as the
Statistics toolbox of Matlab.
Divisive hierarchical clustering (DHC) has emerged as a promising alternative for the
identification of sub-structures in multivariate data. Of particular interest is multi-branching
DHC, which allows flexible numbers of subclusters at each hierarchical level. One poorly
explored issue in multi-branching DHC concerns the actual importance of the two
performance criteria (and their associated algorithms) to automatically create clusters and
select number of clusters, respectively. Another interesting but hitherto unexplored issue is
the possibility to employ a single omnibus performance criterion that guide)
- 2013-01-29 11:05:02下载
- 积分：1
