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WCDMAsim
一个利用matlab，仿真实现WCDMA的程序：）(A use of matlab, simulation procedures WCDMA realize:))
- 2007-08-10 16:15:35下载
- 积分：1
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trelicamurilo
calcula a viga usando uma formula de mecanica dos solidos simples
- 2009-09-23 19:50:29下载
- 积分：1
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fuzzy-control-11
模糊控制程序，用起来很方便，实现很简单，希望对初学者有所帮助(Fuzzy control program, it is very convenient, implementation is simple, hope to help beginners
)
- 2012-03-29 10:31:36下载
- 积分：1
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XLTH
bai tap xlso tin hieu
- 2011-05-29 11:43:19下载
- 积分：1
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Untitled
MPC models predict the change in the dependent variables of the modeled system that will be caused by
changes in the independent variables. In a chemical process, independent variables that can be adjusted by the
controller are often either the setpoints of regulatory PID controllers (pressure, flow, temperature, etc.) or the
final control element (valves, dampers, etc.).
- 2013-04-23 12:48:50下载
- 积分：1
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遗传算法加BP神经网络
实现遗传算法GA和BP神经网络的最优化问题(Realization of genetic algorithm GA and BP neural network optimization problem)
- 2020-06-28 23:40:02下载
- 积分：1
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adaboostmethod
该程序是用matlab编写的一个adaboost算法，并给出了迭代次数、样本数量与错误率间的关系。(The program is written in a matlab adaboost algorithm, and gives the number of iterations, the sample size and the relationship between error rate.)
- 2011-05-23 11:03:50下载
- 积分：1
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Ex1-wind-power
This code is to calculate wind power from wind speed data and power curve data
- 2013-02-02 11:22:52下载
- 积分：1
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caiyouji
说明： 柴油机MATLAB/simulink仿真模型。(Diesel engine Matlab / Simulink simulation model.)
- 2021-01-19 12:10:21下载
- 积分：1
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Reversible_Jump_MCMC_Bayesian_Model_Selection
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
(This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
)
- 2008-03-07 23:23:12下载
- 积分：1
