文件名称:ReversibleJumpMCMCSimulatedAnneaing
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 936kb
- 下载次数：
- 0次
- 提 供 者：
- 大*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the parameters and number of parameters, thereby surmounting the problem of local minima. It allows the user to choose among various model selection criteria, including AIC, BIC and MDL
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BIC
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MCMC
MATLAB
distribution
MATLAB
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MDL
BIC
Model
Selection
AIC
MDL
BIC
AIC
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annealing
MCMC
MATLAB
distribution
MATLAB
bic
MDL
BIC
Model
Selection
AIC
MDL
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下载文件列表
Reversible Jump MCMC Simulated Annealing
........................................\report5.log
........................................\report5.pdf
........................................\report5.ps
........................................\rjMCMCsa
........................................\........\gengamma.m
........................................\........\rjCubic.m
........................................\........\rjdemo1sa.m
........................................\........\rjGaussian.m
........................................\........\rjMultiquadric.m
........................................\........\rjsann.m
........................................\........\rjtpSpline.m
........................................\........\sarBirth.m
........................................\........\sarDeath.m
........................................\........\sarMerge.m
........................................\........\sarRW.m
........................................\........\sarSplit.m
........................................\........\sarUpdate.m
........................................\report5.log
........................................\report5.pdf
........................................\report5.ps
........................................\rjMCMCsa
........................................\........\gengamma.m
........................................\........\rjCubic.m
........................................\........\rjdemo1sa.m
........................................\........\rjGaussian.m
........................................\........\rjMultiquadric.m
........................................\........\rjsann.m
........................................\........\rjtpSpline.m
........................................\........\sarBirth.m
........................................\........\sarDeath.m
........................................\........\sarMerge.m
........................................\........\sarRW.m
........................................\........\sarSplit.m
........................................\........\sarUpdate.m