fbm.2010-11-10
所属分类：人工智能/神经网络/深度学习
开发工具：Visual C++
文件大小：1845KB
下载次数：8
上传日期：2014-09-17 21:53:31
上 传 者：
jyzhz_001
说明： 神经网络的贝叶斯建模C++源代码，包括数据和说明文档
(use baysian training Neural Network MATLAB source code)
文件列表:
fbm.2004-11-10\bin\bvg-circ (6372, 2004-11-10)
fbm.2004-11-10\bin\bvg-wrap (2335, 2004-11-10)
fbm.2004-11-10\bin\dft-circ (6372, 2004-11-10)
fbm.2004-11-10\bin\dft-wrap (2335, 2004-11-10)
fbm.2004-11-10\bin\dist-circ (6372, 2004-11-10)
fbm.2004-11-10\bin\dist-wrap (2335, 2004-11-10)
fbm.2004-11-10\bin\gp-circ (6372, 2004-11-10)
fbm.2004-11-10\bin\gp-wrap (2335, 2004-11-10)
fbm.2004-11-10\bin\mix-circ (6372, 2004-11-10)
fbm.2004-11-10\bin\mix-wrap (2335, 2004-11-10)
fbm.2004-11-10\bin\net-circ (6372, 2004-11-10)
fbm.2004-11-10\bin\net-wrap (2335, 2004-11-10)
fbm.2004-11-10\bin (0, 2014-09-17)
fbm.2004-11-10\bvg\bvg-initial.c (2137, 2004-11-10)
fbm.2004-11-10\bvg\bvg-initial.doc (378, 2004-11-10)
fbm.2004-11-10\bvg\bvg-mc.c (5872, 2004-11-10)
fbm.2004-11-10\bvg\bvg-mc.doc (1611, 2004-11-10)
fbm.2004-11-10\bvg\bvg-plt.c (3491, 2004-11-10)
fbm.2004-11-10\bvg\bvg-plt.doc (530, 2004-11-10)
fbm.2004-11-10\bvg\bvg-spec.c (2737, 2004-11-10)
fbm.2004-11-10\bvg\bvg-spec.doc (968, 2004-11-10)
fbm.2004-11-10\bvg\bvg.doc (684, 2004-11-10)
fbm.2004-11-10\bvg\bvg.h (1092, 2004-11-10)
fbm.2004-11-10\bvg\COPYRIGHT (628, 2004-11-10)
fbm.2004-11-10\bvg\hist.c (5288, 2004-11-10)
fbm.2004-11-10\bvg\log.c (15578, 2004-11-10)
fbm.2004-11-10\bvg\log.h (3496, 2004-11-10)
fbm.2004-11-10\bvg\Makefile (3411, 2004-11-10)
fbm.2004-11-10\bvg\mc-grad-test.c (3633, 2004-11-10)
fbm.2004-11-10\bvg\mc-heatbath.c (2518, 2004-11-10)
fbm.2004-11-10\bvg\mc-hybrid.c (14071, 2004-11-10)
fbm.2004-11-10\bvg\mc-iter.c (22019, 2004-11-10)
fbm.2004-11-10\bvg\mc-metropolis.c (7758, 2004-11-10)
fbm.2004-11-10\bvg\mc-quantities.c (10715, 2004-11-10)
fbm.2004-11-10\bvg\mc-slice.c (19669, 2004-11-10)
fbm.2004-11-10\bvg\mc-stepsizes.c (3806, 2004-11-10)
fbm.2004-11-10\bvg\mc-traj.c (14858, 2004-11-10)
fbm.2004-11-10\bvg\mc-util.c (3795, 2004-11-10)
fbm.2004-11-10\bvg\mc.c (9042, 2004-11-10)
fbm.2004-11-10\bvg\mc.h (12748, 2004-11-10)
... ...
FLEXIBLE BAYESIAN MODELLING SOFTWARE, VERSION OF 2004-11-10.
This directory and its subdirectories contain software for flexible
Bayesian learning of regression, classification, density, and other
models, based on multilayer perceptron neural networks, Gaussian
processes, finite and countably infinite mixtures, and Dirichlet
diffusion trees. These models are implemented using Markov chain
Monte Carlo methods. Software that does Markov chain sampling for
distributions specified by simple formulas for the density or for the
prior and likelihood is also included.
For more information, see the files in the 'doc' directory. The
file 'index.html' in 'doc' has links to all the documentation, which
is easily perused with a web browser. Note: You must access 'index.html'
in the 'doc' directory, not copy it somewhere else, since the links are
relative.
-----------------------------------------------------------------------
The contents of this directory and its sub-directories are
Copyright (c) 1995-2004 by Radford M. Neal
Permission is granted for anyone to copy, use, modify, or distribute these
programs and accompanying documents for any purpose, provided this copyright
notice is retained and prominently displayed, along with a note saying
that the original programs are available from Radford Neal's web page, and
note is made of any changes made to these programs. These programs and
documents are distributed without any warranty, express or implied. As the
programs were written for research purposes only, they have not been tested
to the degree that would be advisable in any important application. All use
of these programs is entirely at the user's own risk.
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