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.
标签: reversible algorithm the nstrates
上传时间: 2014-01-08
上传用户:cuibaigao
这程序是《神经网络模式识别及其实现》(Pattern Recognition with Neural Networks in C++)美Abhijit S. Pandya等著电子工业出版社1999年6月 书号ISBN 7-5053-5088-9
标签: S. Recognition Networks Pattern
上传时间: 2014-01-01
上传用户:Miyuki
Neural Networks-ART Source Code
标签: Networks-ART Neural Source Code
上传时间: 2016-05-08
上传用户:GavinNeko
SVC for Neural Networks (Simon Haykin) homework 6.14
标签: Networks homework Neural Haykin
上传时间: 2013-12-12
上传用户:GavinNeko
Backpropagation Artificial Neural Network in C
标签: Backpropagation Artificial Network Neural
上传时间: 2014-11-28
上传用户:sjyy1001
《Neural Networks for vice recognition》神经网络用于语音识别的英文资料
标签: recognition Networks Neural vice
上传时间: 2013-12-31
上传用户:wlcaption
Neural Networks ,8种神经网络,BP,RBF,CPN等通过VC++来实现了!
上传时间: 2014-01-07
上传用户:athjac
书籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiation”的源码文件
标签: Regularization Differentiat feed-forward Automatic
上传时间: 2013-11-29
上传用户:star_in_rain
C++ Neural Networks and Fuzzy Logic
标签: Networks Neural Fuzzy Logic
上传时间: 2016-11-04
上传用户:Shaikh
RBFMIP is a package for training multi-instance RBF neural networks
标签: multi-instance networks training package
上传时间: 2014-01-23
上传用户:refent