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sanxiangbupinghengip_iq
三相不平衡的补偿方法，simulink环境下实现。(Unbalanced three-phase compensation method, simulink environment to achieve.)
- 2020-10-18 16:37:26下载
- 积分：1
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MATLAB-development-application
介绍基于MATLAB实时视频处理平台的开发和应用方法(Introduced real-time video processing platform based on MATLAB development and application of methods)
- 2010-11-04 15:50:04下载
- 积分：1
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Multi-bus-based-simulation-of-aircraft-electrical-
基于多总线的飞机电气故障模拟实验系统设计Multi-bus-based simulation of aircraft electrical system failure(Multi-bus-based simulation of aircraft electrical system failure)
- 2011-01-10 19:12:22下载
- 积分：1
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Zernike_code
Zernike calcilations code
- 2015-03-25 13:56:32下载
- 积分：1
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Untitled1
计算一接地金属槽，其上盖对地绝缘且具有电位 ，侧壁与底壁为地电位。用有限差分法编程计算凹槽内的电位分布。(Calculation of a metal tray earthing, the upper cover on the insulation and has potential, side wall and the bottom wall to ground potential. Calculation of potential distribution in the groove with the finite difference method programming.)
- 2014-09-05 11:23:22下载
- 积分：1
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MATLAB
Matlab image processing study notes provide Fourier transform image processing code
- 2013-09-21 11:02:35下载
- 积分：1
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closed_loop1
closed loop model for dc motor control...
- 2015-02-14 14:47:19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
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feature_selection
顺序浮动向前选择：选取特征中影响系数较大的特征。(The order of floating forward options: select characteristics influence coefficient larger feature.)
- 2012-11-15 19:05:37下载
- 积分：1
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LorenzeSynchroPredict
利用SIMULINK建立Lorenze系统的仿真模型，并实现同步预测(Simulink for lorenze system and synchro predict)
- 2013-09-05 10:12:51下载
- 积分：1
