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(SGA)
说明： 基于MATLAB遗传算法(SGA)实现
基于MATLAB遗传算法(SGA)实现(MATLAB based genetic algorithm (SGA) based on MATLAB genetic algorithm (SGA) to achieve)
- 2008-11-16 04:34:36下载
- 积分：1
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gaotv5
说明： 一种基于matlab编写的免疫遗传算法程序，比较好，不过我看不懂，请高手指点。谢谢！(prepared by the immune genetic algorithm procedures, better, but I do not understand, please master guiding. Thank you!)
- 2006-04-06 14:03:32下载
- 积分：1
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AdaptiveFiltersdemo
This demonstration illustrates how to use the adaptive filter algorithms
- 2012-05-04 03:58:47下载
- 积分：1
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abc_al_be_dq
a bc converter alpha be to dq
- 2013-07-20 08:46:11下载
- 积分：1
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QPSK
this to learn about quqdrature phase shift key
- 2010-07-17 20:51:58下载
- 积分：1
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forconv2
说明： 实现两个指数信号的卷积，通过绘制出两个输入的指数信号的图形进行卷积后的图形说明卷积的作用。(Convolution of two exponential signals to achieve, by drawing out the index of the two input signals after convolution graphics graphic illustration of the role of convolution.)
- 2010-04-08 09:20:52下载
- 积分：1
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fig7x42
交流电机控制matlab建模仿真（空间矢量控制算法）(Ac motor control)
- 2012-09-06 12:40:43下载
- 积分：1
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HHT
把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)
- 2016-03-09 12:58:20下载
- 积分：1
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Adaboost
用于adaboost初学入门,有需要可以看看,比较简单,容易看懂(For the beginner of learning the adaboost)
- 2009-04-17 22:57:23下载
- 积分：1
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mtetris
特别经典的俄罗斯方块matlab程序！图形不错，界面也做得很好，共享给大家一起学习！(In particular the classic Tetris matlab program! Good graphics, the interface they have done well to share for everyone to learn!)
- 2009-05-06 12:11:16下载
- 积分：1
