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FLch7FNNeg3
模糊神经网络解耦MATLAB程序，系统辨识中有用，希望对大家有帮助(Fuzzy Neural Network Decoupling MATLAB procedures, system identification useful, and they hope to help everyone)
- 2007-11-07 14:43:23下载
- 积分：1
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simulinkemulate
Simulink建模与仿真，simulink窗口环境简介
(failed to translate)
- 2009-04-05 22:10:26下载
- 积分：1
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kommunication-teachbuch
说明： 北油通信仿真电子图书。编译环境matlab，全面地介绍了通信仿真的各种方法(North Oil communications simulation of electronic books. Compiler environment matlab, comprehensive introduction to various methods of communication simulation)
- 2008-09-09 00:16:46下载
- 积分：1
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vdpsl
This is a simulation of a nonlinear second order system.
- 2013-07-31 21:08:03下载
- 积分：1
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power_hvdc12pulse
高压直流输电模型，包括由交流变换直流，直流侧发生故障(High-voltage direct current transmission model, including the communication transform dc, dc side down)
- 2020-10-23 20:37:28下载
- 积分：1
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seismic_plots
Matlab script files for plotting seismic data. You have to provide your own data, these are just functions.
- 2014-11-25 20:31:18下载
- 积分：1
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multigp-master
高斯过程多输出，有很多的例子。包括回归、分类等(GPR multiple output)
- 2020-09-01 22:28:08下载
- 积分：1
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Shannon_fano_Elias
This technique doesn t involve sorting of probabilities as in Shannon-Fano coding. The following formula is used to calculate F (x) which in turn generates the code
F (x) = F(x) + p(x) / 2,
where F(x) is cummulative sum of probabilities p(x).
It can be further understood with the following C code
- 2010-08-11 04:18:23下载
- 积分：1
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MATLABcong-ru-men-dao-jing-tong
MATLAB从入门到精通MATLAB从入门到精通MATLAB从入门到精通MATLAB从入门到精通(MATLAB from entry to entry to the master from the master MATLAB MATLAB MATLAB from entry to the master from entry to the master)
- 2020-12-06 16:39:21下载
- 积分：1
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linear_system_identification.tar
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)
- 2008-08-03 10:18:16下载
- 积分：1
