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lpm
從網路取得關於自相關log-polar變換的實作。(Obtained from the network on the autocorrelation of the log-polar transform implementations.)
- 2007-09-14 08:26:35下载
- 积分:1
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smoothfunction
一个利用二阶指数平滑方法进行预测的实例,比较简单地展现了二阶指数平滑在数据预测方面的作用(Instance, predicted a second-order exponential smoothing method is relatively simple to show the role of the data to predict a second-order exponential smoothing)
- 2013-02-25 16:16:04下载
- 积分:1
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NEURO-FUZZY-BASED-CONTROLLER-FOR-A-SHUNT-ACTIVE-P
NEURO-FUZZY BASED CONTROLLER FOR A SHUNT ACTIVE POWER FILTER
- 2014-02-03 03:52:54下载
- 积分:1
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matlab
matlab的一些基础程序,可直接调用。收集很久的!(matlab some of the basis of procedures, can be directly called. Collection of long!)
- 2008-06-27 11:53:00下载
- 积分:1
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W_K_B
关于用matlab求解薛定谔方程的求解探讨问题研究说明(With regard to solving Schrodinger equation using matlab for solving the problems addressed in studies to illustrate the)
- 2009-12-15 00:20:02下载
- 积分:1
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PCA
PCA for the feature transfort
- 2010-12-26 00:18:42下载
- 积分:1
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PPC-RAGA
这是一个关于投影寻踪模型与加速遗传算法的结合的源程序,不需要工具箱,自己的编译的程序,简单易懂1(This is a projection pursuit model and accelerate the combination of genetic algorithm source code, no kit, build your own program, easy to understand a)
- 2021-04-06 11:09:02下载
- 积分:1
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FIR_1
Filtro FIR de primer orden
- 2011-11-08 14:29:02下载
- 积分:1
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Study
PC-mouth communication through the programming address translation software, the use of very!
- 2015-01-12 01:20:30下载
- 积分:1
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GABP
遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。(具有“生存+检测”的迭代过程的搜索算法)基于自然界“优胜劣汰,适者生存”的生物进化原理引入优化参数形成的编码串联群体中,按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选,使适应度值好的个体被保留,适应度差的个体被淘汰,新的群体既继承了上一代的信息,又优于上一代。反复循环,直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)
- 2019-03-20 16:21:50下载
- 积分:1