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基于二进神经网络的0/1分布系统可靠性分析

杨娟 陆阳 黄镇谨

杨娟, 陆阳, 黄镇谨. 基于二进神经网络的0/1分布系统可靠性分析. 自动化学报, 2014, 40(7): 1472-1480. doi: 10.3724/SP.J.1004.2014.01472
引用本文: 杨娟, 陆阳, 黄镇谨. 基于二进神经网络的0/1分布系统可靠性分析. 自动化学报, 2014, 40(7): 1472-1480. doi: 10.3724/SP.J.1004.2014.01472
YANG Juan, LU Yang, HUANG Zhen-Jin. Reliability of Systems with 0/1 Distribution Based on Binary Neural Networks. ACTA AUTOMATICA SINICA, 2014, 40(7): 1472-1480. doi: 10.3724/SP.J.1004.2014.01472
Citation: YANG Juan, LU Yang, HUANG Zhen-Jin. Reliability of Systems with 0/1 Distribution Based on Binary Neural Networks. ACTA AUTOMATICA SINICA, 2014, 40(7): 1472-1480. doi: 10.3724/SP.J.1004.2014.01472

基于二进神经网络的0/1分布系统可靠性分析

doi: 10.3724/SP.J.1004.2014.01472
基金项目: 

安徽省自然科学基金项目(1408085QF117),合肥工业大学博士专项科研资助基金(2013HGBZ0182),合肥工业大学青年教师创新项目(2013HGQC0019)资助

详细信息
    作者简介:

    杨娟 合肥工业大学计算机与信息学院,讲师. 2012 年获合肥工业大学计算机与信息学院博士学位. 主要研究方向为人工智能,神经网络.E-mail:yangjuan6985@163.com

Reliability of Systems with 0/1 Distribution Based on Binary Neural Networks

Funds: 

Supported by Natural Science Foundation of Anhui Province (1408085QF117), Doctoral Special Research Fund of Hefei University of Technology (2013HGBZ0182), Young Teacher Innovation Project of Hefei University of Technology (2013HGQC0019)

  • 摘要: 系统可靠性的计算依赖于各基本单元的0/1分布关系及其构成的布尔逻辑. 本文利用二进神经网络可以完备实现布尔逻辑的特性,提出一种基于二进神经网络的可靠性分析方法. 该方法针对每个二进神经元的输入都是0/1逻辑关系的线性组合这一特点,提出并且证明了0/1分布的线性组合的概率分布函数;建立系统功能与布尔函数间的等价关系,将系统转化为相应的二进神经网络;利用线性组合的概率分布函数,通过逐层计算该二进神经网络的0/1输出概率,解决了一般系统的可靠性计算问题.
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    [3] Cao Jin-Hua, Cheng Kan. Reliability Mathematical Introduction. Beijing: Higher Education Press, 2006(曹晋华, 程侃. 可靠性数学引论. 北京: 高等教育出版社, 2006)
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出版历程
  • 收稿日期:  2013-03-12
  • 修回日期:  2013-12-09
  • 刊出日期:  2014-07-20

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