基于二进神经网络的0／1分布系统可靠性分析
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．...
Saved in:
| Published in | 自动化学报 Vol. 40; no. 7; pp. 1472 - 1480 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
广西工学院计算机工程系 柳州 545006
2014
合肥工业大学计算机与信息学院 合肥 230009 合肥工业大学信息与通信工程博士后科研流动站 合肥 230009%合肥工业大学计算机与信息学院 合肥 230009%合肥工业大学计算机与信息学院 合肥 230009 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0254-4156 1874-1029 |
| DOI | 10.3724/SP.J.1004.2014.01472 |
Cover
| Abstract | 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． |
|---|---|
| AbstractList | 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。 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． |
| Abstract_FL | The computing of system reliability relies on the relationship of 0/1 distribution of components and their boolean logic. With the help of the characteristic that binary neural networks can complete the whole boolean function, we propose a method of reliability analysis based on binary neural networks. According to the input of every binary neuron is a 0 or 1 logic variable, we provide and prove the distribution function of the linear combination of 0/1 distribution. Then the equivalent relation between the system function and boolean function is established, and the system is converted to an equivalent binary neural network. As a result, using the distribution function, we can successfully resolve the problem of reliability analysis of general systems by computing the 0/1 output probability layer by layer. |
| Author | 杨娟 陆阳 黄镇谨 |
| AuthorAffiliation | 合肥工业大学计算机与信息学院，合肥230009 合肥工业大学信息与通信工程博士后科研流动站，合肥230009 广西工学院计算机工程系，柳州545006 |
| AuthorAffiliation_xml | – name: 合肥工业大学计算机与信息学院 合肥 230009; 合肥工业大学信息与通信工程博士后科研流动站 合肥 230009%合肥工业大学计算机与信息学院 合肥 230009%合肥工业大学计算机与信息学院 合肥 230009; 广西工学院计算机工程系 柳州 545006 |
| Author_FL | YANG Juan LU Yang HUANG Zhen-Jin |
| Author_FL_xml | – sequence: 1 fullname: YANG Juan – sequence: 2 fullname: LU Yang – sequence: 3 fullname: HUANG Zhen-Jin |
| Author_xml | – sequence: 1 fullname: 杨娟 陆阳 黄镇谨 |
| BookMark | eNotjztLA0EcxBeJYIz5BjY2dnf-93W7h5UEnwQUTB_29rJJRC-aID4qQREL8bT1kdiIpYWN5BS_TC6rlV_Bk1gMA8OPGWYS5aJWVENoGoNLBWFzmxvumosBmEsAMzeTIGMoj6VgDgbi51AeCGcOw9ybQMVOpxkAFkz4hEIezae9_qB_Nehffn3e2aeuTWL7cWOTe3t7Bj_vMU4vztO3U_ua2KSXxi_fD4_Dk-csHHavp9C4UdudWvHfC6iytFgprTjl9eXV0kLZ0VyAo7MxAoHvUYqZDP2AcB0aIk1oAmDG95nCUobcI9owUCTEGlNDiZG6FiiP0wKaHdUeqMioqF7dau23o2ywehw2DoO_1yCAQAbOjEDdaEX1vWaG7rabO6p9VPUwl1xKn_4C0NJr4w |
| ContentType | Journal Article |
| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| DBID | 2RA 92L CQIGP W92 ~WA 2B. 4A8 92I 93N PSX TCJ |
| DOI | 10.3724/SP.J.1004.2014.01472 |
| DatabaseName | 维普_期刊 中文科技期刊数据库-CALIS站点 维普中文期刊数据库 中文科技期刊数据库-工程技术 中文科技期刊数据库- 镜像站点 Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| DocumentTitleAlternate | Reliability of Systems with 0/1 Distribution Based on Binary Neural Networks |
| DocumentTitle_FL | Reliability of Systems with 0/1 Distribution Based on Binary Neural Networks |
| EISSN | 1874-1029 |
| EndPage | 1480 |
| ExternalDocumentID | zdhxb201407020 61585889 |
| GrantInformation_xml | – fundername: 安徽省自然科学基金项目; 合肥工业大学博士专项科研资助基金; 合肥工业大学青年教师创新项目(2013HGQC0019)资助Supported by Natural Science Foundation of Anhui Province; Doctoral Special Research Fund of Hefei Uni-versity of Technology; Young Teacher Innova-tion Project of Hefei University of Technology 本文责任编委董海荣 funderid: (1408085QF117); (2013HGBZ0182); (1408085QF117); (2013HGBZ0182); (2013HGQC0019)本文责任编委董海荣 |
| GroupedDBID | --K -0Y .~1 0R~ 1B1 1~. 1~5 2B. 2C0 2RA 4.4 457 4G. 5GY 5VS 5XA 5XJ 7-5 71M 8P~ 92H 92I 92L AAIKJ AALRI AAQFI AAXUO ACGFS ADEZE ADTZH AECPX AEKER AFTJW AGHFR AGYEJ AITUG AJOXV ALMA_UNASSIGNED_HOLDINGS BLXMC CCEZO CQIGP CS3 CUBFJ CW9 EBS EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FNPLU GBLVA HVGLF HZ~ IHE J1W JJJVA M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 ROL RPZ SDF SDG SES TCJ TGT U1G U5S W92 ~WA 4A8 93N ABJNI ABWVN ACRPL ADNMO PSX |
| ID | FETCH-LOGICAL-c570-c17420b9633148d9b25cdf28fdfb04f994a188d562cf40a2d1c13f32f8ceba653 |
| ISSN | 0254-4156 |
| IngestDate | Thu May 29 04:10:30 EDT 2025 Wed Feb 14 10:36:38 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 7 |
| Keywords | 分布函数 二进神经网络 system reliability linear combination 线性组合 Binary neural networks 系统可靠性 distribution function |
| Language | Chinese |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c570-c17420b9633148d9b25cdf28fdfb04f994a188d562cf40a2d1c13f32f8ceba653 |
| Notes | Binary neural networks;system reliability;distribution function;linear combination The computing of system reliability relies on the relationship of 0/1 distribution of components and their boolean logic. With the help of the characteristic that binary neural networks can complete the whole boolean function, we propose a method of reliability analysis based on binary neural networks. According to the input of every binary neuron is a 0 or 1 logic variable, we provide and prove the distribution function of the linear combination of 0/1 distribution. Then the equivalent relation between the system function and boolean function is established, and the system is converted to an equivalent binary neural network. As a result, using the distribution function, we can successfully resolve the problem of reliability analysis of general systems by computing the 0/1 output probability layer by layer. 11-2109/TP YANG Juan LU Yang HUANG Zhen-Jin（ 1. School of Computer and Information, Hefei University of Technology, Hefei 230 |
| PageCount | 9 |
| ParticipantIDs | wanfang_journals_zdhxb201407020 chongqing_primary_61585889 |
| PublicationCentury | 2000 |
| PublicationDate | 2014 |
| PublicationDateYYYYMMDD | 2014-01-01 |
| PublicationDate_xml | – year: 2014 text: 2014 |
| PublicationDecade | 2010 |
| PublicationTitle | 自动化学报 |
| PublicationTitleAlternate | Acta Automatica Sinica |
| PublicationTitle_FL | Acta Automatica Sinica |
| PublicationYear | 2014 |
| Publisher | 广西工学院计算机工程系 柳州 545006 合肥工业大学计算机与信息学院 合肥 230009 合肥工业大学信息与通信工程博士后科研流动站 合肥 230009%合肥工业大学计算机与信息学院 合肥 230009%合肥工业大学计算机与信息学院 合肥 230009 |
| Publisher_xml | – name: 合肥工业大学计算机与信息学院 合肥 230009 – name: 合肥工业大学信息与通信工程博士后科研流动站 合肥 230009%合肥工业大学计算机与信息学院 合肥 230009%合肥工业大学计算机与信息学院 合肥 230009 – name: 广西工学院计算机工程系 柳州 545006 |
| SSID | ssib017479230 ssib001102911 ssib006576350 ssib051375349 ssib007293330 ssj0059721 ssib007290157 ssib023646446 ssib005904210 |
| Score | 2.0679514 |
| Snippet | 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... 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... |
| SourceID | wanfang chongqing |
| SourceType | Aggregation Database Publisher |
| StartPage | 1472 |
| SubjectTerms | 二进神经网络 分布函数 系统可靠性 线性组合 |
| Title | 基于二进神经网络的0／1分布系统可靠性分析 |
| URI | http://lib.cqvip.com/qk/90250X/201407/61585889.html https://d.wanfangdata.com.cn/periodical/zdhxb201407020 |
| Volume | 40 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Baden-Württemberg Complete Freedom Collection (Elsevier) customDbUrl: eissn: 1874-1029 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0059721 issn: 0254-4156 databaseCode: GBLVA dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: ScienceDirect (Elsevier) customDbUrl: eissn: 1874-1029 dateEnd: 20151031 omitProxy: true ssIdentifier: ssj0059721 issn: 0254-4156 databaseCode: .~1 dateStart: 20070101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR25btRAdBQ2DRSIUyRcKZgKebE9M_aMqOyNTRQBolhQupXPpNpwJBJKhQRCFIiFliOhQZQUCAllQfxMNoaKX-C98WzWSBECmtHz-L253ugdc7wh5EKZFCrP_dRKU5tbPMtySxWysPIkEwr1RaEviV277i3c5ItLYmlq6lPj1NL6WtrONva9V_I_XIU84Cvekv0Hzu4VChkAA38hBQ5D-lc8ppGgKqZhQCOOqYzGQIdGkoYxVSGNfBoAWoRAGFIZa2CeKsfkqA4CCqi4TSMorgNIDpYtJZUeAiEATKMzpDB0scaJaQCAomqeBkDv4dmJwG-Qe1h5_Vrn2AzG1kloV6DRAhpIDXSo0tUFUJQmxF9iPCd0SfMGF1IVX9T1Kl0LANBjprOwm1xnCawGhwLaJJsrHPWdUiMCwX210MWstVUtoqXPQXmYdRIjw-uQT2au-g2B7PD6ZSCj3MH5s_dTHMx3OW5d32gv4rkRXGxzeNueUP8WkhusQCmkVAfItIvLQC0yfSW8eiuY2KHYvobgFApkY8PO8gTGAZx8-7ib3dh-hm_GJn4deI0Y5nHvG4P-ew0_XjgMvE70o2sTRGBIJr24aIavvjOKnby0XxcxrsjKan_5DlhL-vJav0z6yw07q3uEHDYO0lxQz_ajZGpj5Rg51AibeZxcHm1t72w_29l--v3bq-rdZjUcVF9fVMPX1ctH9s8vA2f05PHo88Pq47Aabo0GH368ebv74D1k7m4-P0G6cdTtLFjmERArE75tZdB3105BTTDgXa5SV2R56coyL0G4lErxxJEyBys-K7mduLmTOaxkbimzIk08wU6SVn-1X5wic4JlbmI7YAPrIHYsSaVTuLlKmOMVZcZnyOzeKPRu17FeemNWz5DzZlh6RgDc623kK_dTHEVQm649-yfy0-QgItZrd2dIa-3uenEWrNm19JyZO78AiZR7ow |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8E%E4%BA%8C%E8%BF%9B%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%840%EF%BC%8F1%E5%88%86%E5%B8%83%E7%B3%BB%E7%BB%9F%E5%8F%AF%E9%9D%A0%E6%80%A7%E5%88%86%E6%9E%90&rft.jtitle=%E8%87%AA%E5%8A%A8%E5%8C%96%E5%AD%A6%E6%8A%A5&rft.au=%E6%9D%A8%E5%A8%9F+%E9%99%86%E9%98%B3+%E9%BB%84%E9%95%87%E8%B0%A8&rft.date=2014&rft.issn=0254-4156&rft.eissn=1874-1029&rft.volume=40&rft.issue=7&rft.spage=1472&rft.epage=1480&rft_id=info:doi/10.3724%2FSP.J.1004.2014.01472&rft.externalDocID=61585889 |
| thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fimage.cqvip.com%2Fvip1000%2Fqk%2F90250X%2F90250X.jpg http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fzdhxb%2Fzdhxb.jpg |