可视化贝叶斯网络建模软件GeNIe2.2用户手册.pdf_genie贝叶斯中文版手册

可视化

1星需积分: 50 198 浏览量更新于2023-03-03 评论 5 收藏 10.02MB PDF 举报

身份认证购VIP最低享 7 折!

领优惠券(最高得80元）

资源详情

资源评论

资源推荐

GeNIe Modeler

USER MANUAL

Version 2.2.1, Built on 8/4/2017

BayesFusion, LLC

GeNIe Modeler Version 2.2.1, Built on 8/4/2017

Table of Contents

1. Read me first 9

2. Hello GeNIe! 11

3. Introduction 29

3.1 Guide to GeNIe manual ................................................................................................ 30

3.2 GeNIe Modeler ............................................................................................................ 30

3.3 SMILE Engine ............................................................................................................... 31

3.4 Distribution information .............................................................................................. 32

3.5 GeNIe on a Mac ........................................................................................................... 36

3.6 Copyright notice .......................................................................................................... 38

3.7 Disclaimer .................................................................................................................... 39

3.8 Acknowledgments ....................................................................................................... 39

4. Decision-theoretic modeling 41

4.1 Decision analysis .......................................................................................................... 42

4.2 Discrete and continuous variables ............................................................................... 42

4.3 Probability ................................................................................................................... 43

4.4 Utility ........................................................................................................................... 44

4.5 Bayesian networks ....................................................................................................... 45

4.6 Influence diagrams ...................................................................................................... 55

4.7 Bayesian updating ....................................................................................................... 57

4.8 Solving decision models ............................................................................................... 58

4.9 Changes in structure .................................................................................................... 59

4.10 Decision support systems ............................................................................................ 59

5. Building blocks of GeNIe 63

5.1 Introduction ................................................................................................................. 64

5.2 GeNIe workspace ......................................................................................................... 65

Introduction ................................................................................................................ 655.2.1

The menu bar .............................................................................................................. 675.2.2

Graph view .................................................................................................................. 685.2.3

Tree view ..................................................................................................................... 815.2.4

Status bar .................................................................................................................... 845.2.5

Case manager .............................................................................................................. 865.2.6

Output window ........................................................................................................... 915.2.7

Help menu ................................................................................................................... 925.2.8

GeNIe Modeler Version 2.2.1, Built on 8/4/2017

Table of Contents

5.3 Components of GeNIe models ..................................................................................... 93

Node types .................................................................................................................. 935.3.1

Canonical models ........................................................................................................ 965.3.2

Multi-attribute utility nodes ..................................................................................... 1095.3.3

Submodels ................................................................................................................. 1145.3.4

Arcs ............................................................................................................................ 1245.3.5

Node status icons ...................................................................................................... 1255.3.6

Text boxes ................................................................................................................. 1285.3.7

Annotations ............................................................................................................... 1295.3.8

5.4 Model and component properties ............................................................................. 132

Network properties ................................................................................................... 1325.4.1

Submodel properties ................................................................................................ 1425.4.2

Tools menu and Standard toolbar ............................................................................ 1455.4.3

Node properties ........................................................................................................ 1475.4.4

5.5 Visual appearance, layout, and navigation ................................................................. 182

Introduction .............................................................................................................. 1825.5.1

Viewing nodes in the Graph View ............................................................................. 1825.5.2

Zooming and full screen mode ................................................................................. 1855.5.3

Format toolbar and Layout menu ............................................................................. 1865.5.4

Graph layout functions ............................................................................................. 1915.5.5

Selection of model elements .................................................................................... 1935.5.6

Model navigation tools ............................................................................................. 1955.5.7

5.6 Saving and loading models in GeNIe .......................................................................... 197

Introduction .............................................................................................................. 1975.6.1

File menu ................................................................................................................... 2025.6.2

XDSL file format ......................................................................................................... 2065.6.3

DSL file format ........................................................................................................... 2065.6.4

Ergo file format ......................................................................................................... 2075.6.5

Netica file format ...................................................................................................... 2085.6.6

BN interchange format ............................................................................................. 2095.6.7

Hugin file format ....................................................................................................... 2095.6.8

KI file format .............................................................................................................. 2095.6.9

5.7 Inference algorithms .................................................................................................. 209

Introduction .............................................................................................................. 2095.7.1

Immediate and lazy evaluation ................................................................................. 2125.7.2

Relevance reasoning ................................................................................................. 2135.7.3

Node menu ................................................................................................................ 2165.7.4

Network menu .......................................................................................................... 2185.7.5

Bayesian networks algorithms .................................................................................. 2205.7.6

Exact algorithms ........................................................................................................................... 2205.7.6.1

GeNIe Modeler Version 2.2.1, Built on 8/4/2017

Table of Contents

Clustering algorithm ............................................................................................................... 220

5.7.6.1.1

Relevance-based decomposition ............................................................................................ 222

5.7.6.1.2

Polytree algorithm .................................................................................................................. 222

5.7.6.1.3

Stochastic sampling algorithms .................................................................................................... 2235.7.6.2

Probabilistic Logic Sampling .................................................................................................... 223

5.7.6.2.1

Likelihood Sampling ................................................................................................................ 223

5.7.6.2.2

Self-Importance Sampling ....................................................................................................... 223

5.7.6.2.3

Backward Sampling ................................................................................................................. 223

5.7.6.2.4

AIS algorithm ........................................................................................................................... 224

5.7.6.2.5

EPIS Sampling .......................................................................................................................... 224

5.7.6.2.6

Special algorithms ........................................................................................................................ 2255.7.6.3

Probability of evidence ........................................................................................................... 225

5.7.6.3.1

Annealed MAP ........................................................................................................................ 229

5.7.6.3.2

Influence diagrams algorithms ................................................................................. 2365.7.7

Policy evaluation .......................................................................................................................... 2365.7.7.1

Find Best Policy ............................................................................................................................ 2375.7.7.2

Algorithms for continuous and hybrid models ......................................................... 2385.7.8

Introduction ................................................................................................................................. 2385.7.8.1

Autodiscretization ........................................................................................................................ 2395.7.8.2

Hybrid Forward Sampling ............................................................................................................. 2425.7.8.3

5.8 Obfuscation ............................................................................................................... 243

5.9 Program options ........................................................................................................ 249

5.10 Keyboard shortcuts .................................................................................................... 255

6. Using GeNIe 259

6.1 Introduction ............................................................................................................... 260

6.2 Bayesian networks ..................................................................................................... 260

Building a Bayesian network ..................................................................................... 2606.2.1

Useful structural transformations ............................................................................. 2606.2.2

Entering and retracting evidence .............................................................................. 2666.2.3

Virtual evidence ........................................................................................................ 2716.2.4

Viewing results .......................................................................................................... 2736.2.5

Strength of influences ............................................................................................... 2806.2.6

Controlling values ...................................................................................................... 2836.2.7

Sensitivity analysis in Bayesian networks ................................................................. 2866.2.8

6.3 Influence diagrams .................................................................................................... 291

Building an influence diagram .................................................................................. 2916.3.1

Viewing results .......................................................................................................... 3006.3.2

Sensitivity analysis in influence diagrams ................................................................. 3016.3.3

Value of information ................................................................................................. 3066.3.4

6.4 Support for diagnosis ................................................................................................. 313

Introduction .............................................................................................................. 3136.4.1

剩余523页未读，继续阅读

m0_68729164

2022-04-15

傻逼，垃圾，放尼玛的英文

weixin_38746387

粉丝: 332
资源: 1308

会员权益专享

可视化贝叶斯网络建模软件GeNIe2.2用户手册.pdf

评论1

会员权益专享

最新资源

可视化贝叶斯网络建模软件GeNIe2.2用户手册.pdf

评论1

GENIE操作手册简体中文版汇编.pdf

GeNIe用户使用手册.pdf

GeNIe Modeler User Manual(汉化操作说明)

可视化贝叶斯网络建模软件用户手册csdn

绘制贝叶斯网络的软件有哪些

贝叶斯网络genie 下载

贝叶斯网络genie2.1

GENIE贝叶斯网络安装

贝叶斯网络建模具体方法

genie贝叶斯库详解

genle软件如何分析动态贝叶斯网络

连续时间贝叶斯网络建模

智能化动态贝叶斯网络

genie modeler实现动态贝叶斯网络

适合做贝叶斯网络的python第三方库有哪些

genie贝叶斯软件官网

genie贝叶斯网络如何进行参数学习

r语言如何实现贝叶斯网络分析

matlab 动态贝叶斯网络

动态贝叶斯网络 python

会员权益专享

最新资源