http://www.down80.com:matlab贝叶斯网络工具箱

matlab贝叶斯网络工具箱


软件厂家：		官方网站：
大小：	1.96 MB	语言：	中文
类型：	国产软件	类别：	免费软件 / 其他行业
更新时间：	2017-05-23 10:56	运行环境：	WinAll, WinXP, Win7, Win8

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文件结构

zip 压缩文件包含以下子文件

1: FullBNT-1.0.4 /

2: FullBNT-1.0.4 / FullBNT-1.0.4 /

3: FullBNT-1.0.4 / FullBNT-1.0.4 / #ChangeLog.txt#

4: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT /

5: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / @assocarray /

6: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / @assocarray / assocarray.m

7: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / @assocarray / CVS /

8: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / @assocarray / CVS / Entries

9: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / @assocarray / CVS / Repository

10: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / @assocarray / CVS / Root

11: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / @assocarray / subsref.m

12: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs /

13: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @boolean_CPD /

14: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @boolean_CPD / boolean_CPD.m

15: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @boolean_CPD / CVS /

16: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @boolean_CPD / CVS / Entries

17: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @boolean_CPD / CVS / Repository

18: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @boolean_CPD / CVS / Root

19: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @deterministic_CPD /

20: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @deterministic_CPD / CVS /

21: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @deterministic_CPD / CVS / Entries

22: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @deterministic_CPD / CVS / Repository

23: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @deterministic_CPD / CVS / Root

24: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @deterministic_CPD / deterministic_CPD.m

25: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD /

26: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / convert_CPD_to_table_hidden_ps.m

27: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / convert_obs_CPD_to_table.m

28: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / convert_to_pot.m

29: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / convert_to_sparse_table.c

30: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / convert_to_table.m

31: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / CPD_to_lambda_msg.m

32: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / CPD_to_pi.m

33: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / CPD_to_scgpot.m

34: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / CVS /

35: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / CVS / Entries

36: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / CVS / Entries.Log

37: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / CVS / Repository

38: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / CVS / Root

39: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / discrete_CPD.m

40: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / dom_sizes.m

41: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / log_prob_node.m

42: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / Old /

43: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / Old / convert_to_pot.m

44: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / Old / convert_to_table.m

45: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / Old / CVS /

46: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / Old / CVS / Entries

47: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / Old / CVS / Repository

48: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / Old / CVS / Root

49: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / Old / prob_CPD.m

50: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / Old / prob_node.m

51: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / private /

52: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / private / CVS /

53: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / private / CVS / Entries

54: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / private / CVS / Repository

55: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / private / CVS / Root

56: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / private / prod_CPT_and_pi_msgs.m

57: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / prob_node.m

58: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / README

59: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @discrete_CPD / sample_node.m

60: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD /

61: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / adjustable_CPD.m

62: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / convert_CPD_to_table_hidden_ps.m

63: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / convert_to_pot.m

64: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / convert_to_table.m

65: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / CPD_to_lambda_msg.m

66: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / CPD_to_pi.m

67: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / CPD_to_scgpot.m

68: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / CVS /

69: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / CVS / Entries

70: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / CVS / Entries.Log

71: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / CVS / Repository

72: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / CVS / Root

73: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / display.m

74: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / gaussian_CPD.m

75: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / gaussian_CPD_params_given_dps.m

76: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / get_field.m

77: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / learn_params.m

78: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / log_prob_node.m

79: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / maximize_params.m

80: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / maximize_params_debug.m

81: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / Old /

82: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / Old / CPD_to_lambda_msg.m

83: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / Old / CVS /

84: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / Old / CVS / Entries

85: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / Old / CVS / Repository

86: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / Old / CVS / Root

87: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / Old / gaussian_CPD.m

88: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / Old / log_prob_node.m

89: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / Old / maximize_params.m

90: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / Old / update_ess.m

91: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / Old / update_tied_ess.m

92: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / private /

93: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / private / CPD_to_linear_gaussian.m

94: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / private / CVS /

95: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / private / CVS / Entries

96: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / private / CVS / Repository

97: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / private / CVS / Root

98: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / reset_ess.m

99: FullBNT-1.0.4 / FullBNT-1.0.4 / BNT / CPDs / @gaussian_CPD / sample_node.m

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软件标签: matlab工具箱 matlab

matlab贝叶斯工具箱 是一款免费的编程学习工具，安装后，可以实现网络结构学习，还可以实现叶斯分类操作。是编程学习必备的安装程序。欢迎需要的朋友来绿色资源网下载使用！

应用介绍

matlab的bayes贝叶斯神经网络工具箱是kevin murphy开发的，最近一次的更新时间是在2007年，此工具的开发，得到了intel员工的协助！采用matlab语言编制的贝叶斯网络工具箱（bayesian networks toolbox,bnt）可实现贝叶斯网络结构学习、参数学习、推理和构建贝叶斯分类器，此工具箱在贝叶斯学习编程方面非常灵活。通过matlab神经网络工具的一些命令组合，可以轻易实现贝叶斯神经网络工具箱的功能！