文件名称:bayes
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [C/C++] [Windows] [Visual.Net] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 5.2mb
- 下载次数：
- 0次
- 提 供 者：
- 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
用c++采用pnl实现的简单贝叶斯网络的构建（说明很详细）-C++ using pnl to achieve a simple Bayesian network build (very detailed)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
程序\BayesNetAplication\BayesNetAplication.ncb
....\..................\BayesNetAplication.sln
....\..................\BayesNetAplication.suo
....\..................\BayesNetAplication.vcproj
....\..................\Data\alarm.dat
....\..................\....\cases
....\..................\....\casesArHMM
....\..................\....\casesForWS
....\..................\....\casesTab
....\..................\....\cases_gaussian
....\..................\....\kjaerulff.dat
....\..................\....\Makefile.am
....\..................\....\Makefile.in
....\..................\....\samplesFoWS
....\..................\.ebug\BayesNetAplication.exe
....\..................\.....\BayesNetAplication.ilk
....\..................\.....\BayesNetAplication.pdb
....\..................\.....\BuildLog.htm
....\..................\.....\cxcore.dll
....\..................\.....\cxcored.dll
....\..................\.....\Data\casesForWS
....\..................\.....\inf_learn_bnet.obj
....\..................\.....\pnl.dll
....\..................\.....\vc70.idb
....\..................\.....\vc70.pdb
....\..................\inf_learn_bnet.cpp
....\PNL\Dll\cxcore.dll
....\...\...\cxcored.dll
....\...\...\pnl.dll
....\...\include\cvcart.h
....\...\.......\cvsvd.h
....\...\.......\cxcore.h
....\...\.......\cxerror.h
....\...\.......\cxmisc.h
....\...\.......\cxtypes.h
....\...\.......\datadefs.h
....\...\.......\dbginfo.h
....\...\.......\inlines.h
....\...\.......\memtrack.h
....\...\.......\ParPNLCRTDBG.H
....\...\.......\pnl1_5SliceInferenceEngine.hpp
....\...\.......\pnl1_5SliceJtreeInferenceEngine.hpp
....\...\.......\pnl2DBitwiseMatrix.hpp
....\...\.......\pnl2DNumericDenseMatrix.hpp
....\...\.......\pnl2TBNInferenceEngine.hpp
....\...\.......\pnl2TPFInferenceEngine.hpp
....\...\.......\pnlAllocator.hpp
....\...\.......\pnlBayesLearningEngine.hpp
....\...\.......\pnlBicLearningEngine.hpp
....\...\.......\pnlBKInferenceEngine.hpp
....\...\.......\pnlBNet.hpp
....\...\.......\pnlCondGaussianDistribFun.hpp
....\...\.......\pnlCondSoftMaxDistribFun.hpp
....\...\.......\pnlConfig.h
....\...\.......\pnlConfig.hpp
....\...\.......\pnlContext.hpp
....\...\.......\pnlContextLoad.hpp
....\...\.......\pnlContextPersistence.hpp
....\...\.......\pnlContextSave.hpp
....\...\.......\pnlCoverage.hpp
....\...\.......\pnlCPD.hpp
....\...\.......\pnlDAG.hpp
....\...\.......\pnlDBN.hpp
....\...\.......\pnlDenseMatrix.hpp
....\...\.......\pnlDiagnostics.hpp
....\...\.......\pnlDistribFun.hpp
....\...\.......\pnlDynamicGraphicalModel.hpp
....\...\.......\pnlDynamicInferenceEngine.hpp
....\...\.......\pnlDynamicLearningEngine.hpp
....\...\.......\pnlEmLearningEngine.hpp
....\...\.......\pnlEmLearningEngineDBN.hpp
....\...\.......\pnlError.h
....\...\.......\pnlEvidence.hpp
....\...\.......\pnlExampleModels.hpp
....\...\.......\pnlException.hpp
....\...\.......\pnlExInferenceEngine.hpp
....\...\.......\pnlFactor.hpp
....\...\.......\pnlFactorGraph.hpp
....\...\.......\pnlFactors.hpp
....\...\.......\pnlFakePtr.hpp
....\...\.......\pnlFGSumMaxInferenceEngine.hpp
....\...\.......\pnlGaussianCPD.hpp
....\...\.......\pnlGaussianDistribFun.hpp
....\...\.......\pnlGaussianPotential.hpp
....\...\.......\pnlGibbsSamplingInferenceEngine.hpp
....\...\.......\pnlGibbsWithAnnealingInferenceEngine.hpp
....\...\.......\pnlGraph.hpp
....\...\.......\pnlGraphicalModel.hpp
....\...\.......\pnlGroup.hpp
....\...\.......\pnli2DNumericDenseMatrix.hpp
....\...\.......\pnlIDNet.hpp
....\...\.......\pnlIDPotential.hpp
....\...\.......\pnlIDTabularPotential.hpp
....\...\.......\pnlImpDefs.hpp
....\...\.......\pnlInferenceEngine.hpp
....\...\.......\pnliNumericDenseMatrix.hpp
....\...\.......\pnliNumericSparseMatrix.hpp
....\...\.......\pnlJtreeInferenceEngine.hpp
....\...\.......\pnlJunctionTree.hpp
....\...\.......\pnlLearningEngine.hpp
....\..................\BayesNetAplication.sln
....\..................\BayesNetAplication.suo
....\..................\BayesNetAplication.vcproj
....\..................\Data\alarm.dat
....\..................\....\cases
....\..................\....\casesArHMM
....\..................\....\casesForWS
....\..................\....\casesTab
....\..................\....\cases_gaussian
....\..................\....\kjaerulff.dat
....\..................\....\Makefile.am
....\..................\....\Makefile.in
....\..................\....\samplesFoWS
....\..................\.ebug\BayesNetAplication.exe
....\..................\.....\BayesNetAplication.ilk
....\..................\.....\BayesNetAplication.pdb
....\..................\.....\BuildLog.htm
....\..................\.....\cxcore.dll
....\..................\.....\cxcored.dll
....\..................\.....\Data\casesForWS
....\..................\.....\inf_learn_bnet.obj
....\..................\.....\pnl.dll
....\..................\.....\vc70.idb
....\..................\.....\vc70.pdb
....\..................\inf_learn_bnet.cpp
....\PNL\Dll\cxcore.dll
....\...\...\cxcored.dll
....\...\...\pnl.dll
....\...\include\cvcart.h
....\...\.......\cvsvd.h
....\...\.......\cxcore.h
....\...\.......\cxerror.h
....\...\.......\cxmisc.h
....\...\.......\cxtypes.h
....\...\.......\datadefs.h
....\...\.......\dbginfo.h
....\...\.......\inlines.h
....\...\.......\memtrack.h
....\...\.......\ParPNLCRTDBG.H
....\...\.......\pnl1_5SliceInferenceEngine.hpp
....\...\.......\pnl1_5SliceJtreeInferenceEngine.hpp
....\...\.......\pnl2DBitwiseMatrix.hpp
....\...\.......\pnl2DNumericDenseMatrix.hpp
....\...\.......\pnl2TBNInferenceEngine.hpp
....\...\.......\pnl2TPFInferenceEngine.hpp
....\...\.......\pnlAllocator.hpp
....\...\.......\pnlBayesLearningEngine.hpp
....\...\.......\pnlBicLearningEngine.hpp
....\...\.......\pnlBKInferenceEngine.hpp
....\...\.......\pnlBNet.hpp
....\...\.......\pnlCondGaussianDistribFun.hpp
....\...\.......\pnlCondSoftMaxDistribFun.hpp
....\...\.......\pnlConfig.h
....\...\.......\pnlConfig.hpp
....\...\.......\pnlContext.hpp
....\...\.......\pnlContextLoad.hpp
....\...\.......\pnlContextPersistence.hpp
....\...\.......\pnlContextSave.hpp
....\...\.......\pnlCoverage.hpp
....\...\.......\pnlCPD.hpp
....\...\.......\pnlDAG.hpp
....\...\.......\pnlDBN.hpp
....\...\.......\pnlDenseMatrix.hpp
....\...\.......\pnlDiagnostics.hpp
....\...\.......\pnlDistribFun.hpp
....\...\.......\pnlDynamicGraphicalModel.hpp
....\...\.......\pnlDynamicInferenceEngine.hpp
....\...\.......\pnlDynamicLearningEngine.hpp
....\...\.......\pnlEmLearningEngine.hpp
....\...\.......\pnlEmLearningEngineDBN.hpp
....\...\.......\pnlError.h
....\...\.......\pnlEvidence.hpp
....\...\.......\pnlExampleModels.hpp
....\...\.......\pnlException.hpp
....\...\.......\pnlExInferenceEngine.hpp
....\...\.......\pnlFactor.hpp
....\...\.......\pnlFactorGraph.hpp
....\...\.......\pnlFactors.hpp
....\...\.......\pnlFakePtr.hpp
....\...\.......\pnlFGSumMaxInferenceEngine.hpp
....\...\.......\pnlGaussianCPD.hpp
....\...\.......\pnlGaussianDistribFun.hpp
....\...\.......\pnlGaussianPotential.hpp
....\...\.......\pnlGibbsSamplingInferenceEngine.hpp
....\...\.......\pnlGibbsWithAnnealingInferenceEngine.hpp
....\...\.......\pnlGraph.hpp
....\...\.......\pnlGraphicalModel.hpp
....\...\.......\pnlGroup.hpp
....\...\.......\pnli2DNumericDenseMatrix.hpp
....\...\.......\pnlIDNet.hpp
....\...\.......\pnlIDPotential.hpp
....\...\.......\pnlIDTabularPotential.hpp
....\...\.......\pnlImpDefs.hpp
....\...\.......\pnlInferenceEngine.hpp
....\...\.......\pnliNumericDenseMatrix.hpp
....\...\.......\pnliNumericSparseMatrix.hpp
....\...\.......\pnlJtreeInferenceEngine.hpp
....\...\.......\pnlJunctionTree.hpp
....\...\.......\pnlLearningEngine.hpp