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l2_bayes_classifier
machine learning 方面有关于The Bayes Classifier的资料,语言是python(machine learning aspects have The Bayes Classifier information about language is python)
- 2013-12-07 23:24:23下载
- 积分:1
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chua_paradigm
实现蔡氏电路的混沌模拟,运行环境需要matlab程序(The realization of Chua' s circuit chaotic simulated)
- 2009-04-29 09:26:47下载
- 积分:1
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antclustprog
ant clust programming codes
- 2011-05-06 12:10:21下载
- 积分:1
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4G-LTE-LTE-Advanced-for-mobile-broadband_2011
4G LTE LTE-Advanced for mobile broadband_2011
- 2013-07-19 21:30:39下载
- 积分:1
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Planar-Robot-joint-speed-simulation
Planar RR robot joint speed simulation and animation
- 2014-12-27 03:31:12下载
- 积分:1
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channelcapacity
在MIMO系统中,已知和未知信道状态信息时的信道容量比较(In MIMO systems, known and unknown channel state information when the channel capacity compared)
- 2009-11-12 11:57:55下载
- 积分:1
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cand
说明: 数学建模,正态性检验MATLAB程序,经检验,很好,很牛逼!(Mathematical modeling, MATLAB test normal procedures, by inspection, very good, very牛逼!)
- 2009-08-15 16:24:54下载
- 积分:1
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Conjugate-gradient
共轭梯度法是介于最速下降法与牛顿法之间的一个方法,它仅需利用一阶导数信息,但克服了最速下降法收敛慢的缺点,又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点,共轭梯度法不仅是解决大型线性方程组最有用的方法之一,也是解大型非线性最优化最有效的算法之一。(Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the first derivative information, but the steepest descent method to overcome the disadvantage of slow convergence, but also avoids the need to store and calculate Newton Hesse matrix and the shortcomings of the inverse, conjugate gradient method is not only linear equations to solve large-scale one of the most useful, large-scale nonlinear optimization solution is also the most efficient algorithms.)
- 2011-05-06 16:20:24下载
- 积分:1
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matlab_psd
采用直接发在matlab中进行功率谱密度计算
(Direct hair for power spectral density calculation in matlab)
- 2014-10-26 11:49:44下载
- 积分:1
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IniSnake
一个自己写的设置SNAKE初始节点的MATLAB程序,以绿色十字标记节点位置,在此基础上可以编制自己的SNAKE算法,(himself wrote a set of Snake initial nodes MATLAB procedures to Green Cross markings node location, on this basis can prepare their own Snake algorithm, huh)
- 2005-07-29 18:12:42下载
- 积分:1