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RPCL
RPCL聚类算法,用MATLAB实现，有详细注释(RPCL clustering algorithm, using MATLAB realization of the Notes in more detail)
- 2007-11-27 10:45:20下载
- 积分：1
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Matlabwork
wind farm simulation to control the active and reactive power with taiy line
- 2013-11-29 21:42:18下载
- 积分：1
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bootstrapping
matlabde zbt price 函数类似与bootstrapping法求利率期限结构(zbt price bootstrapping)
- 2010-10-13 14:25:08下载
- 积分：1
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spars-array
稀疏阵的方向图仿真，给出了不同条件下的稀疏阵列的方向图(This is the simulate about sparse array ,different conditions have been taken into account )
- 2021-04-14 10:48:56下载
- 积分：1
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MATLAB-transmission
this code is about different types of digital communications
- 2014-01-24 03:15:40下载
- 积分：1
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GUIIPLS21
multivariate analysis tool
- 2014-01-31 16:40:27下载
- 积分：1
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Estimador_Reducido
Estimador de orden reducido
Control en el espacio de estados
- 2019-05-19 02:52:11下载
- 积分：1
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tag_Big_image
tag big data in matlab
- 2013-01-14 13:58:53下载
- 积分：1
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CONTOH-PENERAPAN-ALGORITMA-PADA-GUI-MATLAB
this is an example on how to implement an algorythm in matlab. This example use GUI Matlab. It use the grayscale and negation algorythm as algorythm s example.
- 2014-10-12 02:53:50下载
- 积分：1
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PID
多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。(Multivariable input, output, and more interference, complex nonlinear and strong coupling system control is a more difficult problem, commonly used multivariable controller may be because the problem is difficult to control the coupling system. PID neural network is a multi-front to neural networks, its number of neurons in each layer, connection, connection weights are in accordance with the existing principles and experience to determine the PID control law is a dynamic compliance before the control system to the network. However, due to the random initial weights of the network PID values of reason, every time there are differences in the effect of control and in some cases the control effect is still relatively poor. This case study of multivariable coupling system based on PID control neurons, and with PSO algorithm to optimize the controller to achieve better control effect.)
- 2015-03-22 13:42:37下载
- 积分：1
