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Artificial-neural-networks-based-

This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier

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(biāo)簽： reversible algorithm the nstrates

上傳時(shí)間： 2014-01-08

上傳用戶：cuibaigao
這程序是《神經(jīng)網(wǎng)絡(luò)模式識(shí)別及其實(shí)現(xiàn)》（Pattern Recognition with Neural Networks in C++)美Abhijit S. Pandya等著電子工業(yè)出版社1999年6

這程序是《神經(jīng)網(wǎng)絡(luò)模式識(shí)別及其實(shí)現(xiàn)》（Pattern Recognition with Neural Networks in C++)美Abhijit S. Pandya等著電子工業(yè)出版社1999年6月書(shū)號(hào)ISBN 7-5053-5088-9

標(biāo)簽： S. Recognition Networks Pattern

上傳時(shí)間： 2014-01-01

上傳用戶：Miyuki
Neural Networks-ART Source Code

Neural Networks-ART Source Code

標(biāo)簽： Networks-ART Neural Source Code

上傳時(shí)間： 2016-05-08

上傳用戶：GavinNeko
SVC for Neural Networks (Simon Haykin) homework 6.14

SVC for Neural Networks (Simon Haykin) homework 6.14

標(biāo)簽： Networks homework Neural Haykin

上傳時(shí)間： 2013-12-12

上傳用戶：GavinNeko
Backpropagation Artificial Neural Network in C

Backpropagation Artificial Neural Network in C

標(biāo)簽： Backpropagation Artificial Network Neural

上傳時(shí)間： 2014-11-28

上傳用戶：sjyy1001
《Neural Networks for vice recognition》神經(jīng)網(wǎng)絡(luò)用于語(yǔ)音識(shí)別的英文資料

《Neural Networks for vice recognition》神經(jīng)網(wǎng)絡(luò)用于語(yǔ)音識(shí)別的英文資料

標(biāo)簽： recognition Networks Neural vice

上傳時(shí)間： 2013-12-31

上傳用戶：wlcaption
Neural Networks

Neural Networks ，8種神經(jīng)網(wǎng)絡(luò)，BP，RBF，CPN等通過(guò)VC++來(lái)實(shí)現(xiàn)了！

標(biāo)簽： Networks Neural

上傳時(shí)間： 2014-01-07

上傳用戶：athjac
書(shū)籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiat

書(shū)籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiation”的源碼文件

標(biāo)簽： Regularization Differentiat feed-forward Automatic

上傳時(shí)間： 2013-11-29

上傳用戶：star_in_rain
C++ Neural Networks and Fuzzy Logic

C++ Neural Networks and Fuzzy Logic

標(biāo)簽： Networks Neural Fuzzy Logic

上傳時(shí)間： 2016-11-04

上傳用戶：Shaikh
RBFMIP is a package for training multi-instance RBF neural networks

RBFMIP is a package for training multi-instance RBF neural networks

標(biāo)簽： multi-instance networks training package

上傳時(shí)間： 2014-01-23

上傳用戶：refent

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