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.
標簽： reversible algorithm the nstrates
上傳時間： 2014-01-08
上傳用戶：cuibaigao
這程序是《神經網絡模式識別及其實現》（Pattern Recognition with Neural Networks in C++)美Abhijit S. Pandya等著電子工業出版社1999年6月 書號ISBN 7-5053-5088-9
標簽： S. Recognition Networks Pattern
上傳時間： 2014-01-01
上傳用戶：Miyuki
Neural Networks-ART Source Code
標簽： Networks-ART Neural Source Code
上傳時間： 2016-05-08
上傳用戶：GavinNeko
SVC for Neural Networks (Simon Haykin) homework 6.14
標簽： Networks homework Neural Haykin
上傳時間： 2013-12-12
上傳用戶：GavinNeko
Backpropagation Artificial Neural Network in C
標簽： Backpropagation Artificial Network Neural
上傳時間： 2014-11-28
上傳用戶：sjyy1001
《Neural Networks for vice recognition》神經網絡用于語音識別的英文資料
標簽： recognition Networks Neural vice
上傳時間： 2013-12-31
上傳用戶：wlcaption
Neural Networks ，8種神經網絡，BP，RBF，CPN等通過VC++來實現了！
上傳時間： 2014-01-07
上傳用戶：athjac
書籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiation”的源碼文件
標簽： Regularization Differentiat feed-forward Automatic
上傳時間： 2013-11-29
上傳用戶：star_in_rain
C++ Neural Networks and Fuzzy Logic
標簽： Networks Neural Fuzzy Logic
上傳時間： 2016-11-04
上傳用戶：Shaikh
RBFMIP is a package for training multi-instance RBF neural networks
標簽： multi-instance networks training package
上傳時間： 2014-01-23
上傳用戶：refent
