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chap6
系统辨识与自适应控制MATLAB仿真CH6,好东西大家分享(System Identification and Adaptive Control of MATLAB simulation CH6, good things to share with you)
- 2009-12-16 10:55:22下载
- 积分：1
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fenxingjishuan
给出了分形计算的源代码的matlab程序，可以迅速帮助大家进行分形的分析与计算，参数容易设置(given fractal calculation of the source code of Matlab procedures, can help you quickly fractal analysis and calculation of parameters of easy setup)
- 2006-11-23 16:00:41下载
- 积分：1
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APracticalGuidetoECCUsingMATLAB
差错控制编码方向的经典书籍的matlab教程,差错编码方向的可以看看，很有用(Error control coding direction of the classic books matlab tutorial, error encoding direction can see, very useful)
- 2013-08-20 19:29:23下载
- 积分：1
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Matlab7.0
Matlab7.0编程基础源程序第一章实例程序Matlab M-File(Programming based on the source of the first chapter Matlab7.0)
- 2014-12-19 11:22:57下载
- 积分：1
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error2
建立了神经网络迟滞模型，由于该模型是基于EHM 的混合神经网络模型，因此简记
为HNNM 模型。(ANN)
- 2010-07-01 16:33:17下载
- 积分：1
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MATLAB_programming_source_code_for_pattern_huffman
MATLAB程序设计之图形huffman编码源程序MATLAB programming source code for pattern huffman coding(MATLAB programming of graphics huffman coding source MATLAB programming source code for pattern huffman coding)
- 2010-08-03 11:16:30下载
- 积分：1
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mmse_diedai08
最佳权向量自适应迭代更新MSE对比波形，内有详细说明，供大家参考。(optimal weight vector adaptive waveform update MSE contrast, with detailed notes for reference.)
- 2007-06-05 01:30:31下载
- 积分：1
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Interpolation
This program apply iterpolation on a speech file.
- 2014-01-25 18:52:16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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matlabadvanceaply
matlab的教程，例题，包括数值，符号，图像等运算及答案(matlab tutorials, sample questions, including the values, symbols, images and other computing and answers)
- 2008-04-03 14:36:48下载
- 积分：1
