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DODPCA
说明： 两个方向的二维主成分分析matlab算法(Two directions of two-dimensional principal component analysis algorithm matlab)
- 2009-08-20 11:16:48下载
- 积分：1
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ICADTU-Toolbox
说明： 一个neural network的matlab源程序代码(a neural network to the source code Matlab)
- 2006-03-08 11:11:07下载
- 积分：1
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FSK
实现了2FSK调制的一个小程序，为进行通信类学习者提供了一个参考(Implementation of 2FSK modulation of a small program, for beginners communication provides a reference for the study)
- 2012-03-21 19:28:19下载
- 积分：1
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Chapter2
现代通信系统使用MATLAB一书中第二章，书的作者是刘树堂(Modern communication systems using MATLAB, a book chapter, book the author is LIU Shu-tang)
- 2012-05-30 14:13:47下载
- 积分：1
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MATLAB-shixian-IIR
用matlab来实现IIR滤波器的设计实验，提供程序代码。(Matlab to achieve IIR filter design experiments to provide the program code.)
- 2012-10-10 20:13:50下载
- 积分：1
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qujianshu
区间数计算，岩土沉降预测，matlab编程，变权重计算(Interval calculations, geotechnical settlement prediction, matlab programming, variable weight calculation)
- 2014-02-25 15:43:13下载
- 积分：1
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dijalgod
dijkstra algorithm as a shortest path finder in terms of cost very simple for the beginners
- 2010-10-07 06:28:45下载
- 积分：1
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FBD
DIN Power measurement Theory in Matlab/simulink
- 2012-07-30 22:35:58下载
- 积分：1
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NPU-Mathematical-Model
西工大 数学建模简明教程 课件 很有帮助对于学习数学建模的同学(NPU A Concise Guide to Mathematical Modeling Mathematical Modeling courseware helpful for students to learn)
- 2011-11-10 08:48:10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
