{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:53:47Z","timestamp":1753887227746,"version":"3.41.2"},"reference-count":28,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T00:00:00Z","timestamp":1552867200000},"content-version":"vor","delay-in-days":76,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005047","name":"Natural Science Foundation of Liaoning Province","doi-asserted-by":"publisher","award":["20170540790"],"award-info":[{"award-number":["20170540790"]}],"id":[{"id":"10.13039\/501100005047","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:p>Storage reliability is an important index of ammunition product quality. It is the core guarantee for the safe use of ammunition and the completion of tasks. In this paper, we develop a prediction model of ammunition storage reliability in the natural storage state where the main affecting factors of ammunition reliability include temperature, humidity, and storage period. A new improved algorithm based on three\u2010stage ant colony optimization (IACO) and BP neural network algorithm is proposed to predict ammunition failure numbers. The reliability of ammunition storage is obtained indirectly by failure numbers. The improved three\u2010stage pheromone updating strategies solve two problems of ant colony algorithm: local minimum and slow convergence. Aiming at the incompleteness of field data, \u201czero failure\u201d data pretreatment, \u201cinverted hanging\u201d data pretreatment, normalization of data, and small sample data augmentation are carried out. A homogenization sampling method is proposed to extract training and testing samples. Experimental results show that IACO\u2010BP algorithm has better accuracy and stability in ammunition storage reliability prediction than BP network, PSO\u2010BP, and ACO\u2010BP algorithm.<\/jats:p>","DOI":"10.1155\/2019\/5039097","type":"journal-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T23:36:19Z","timestamp":1552952179000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Prediction of Ammunition Storage Reliability Based on Improved Ant Colony Algorithm and BP Neural Network"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4385-1134","authenticated-orcid":false,"given":"Fang","family":"Liu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2260-4617","authenticated-orcid":false,"given":"Hua","family":"Gong","sequence":"additional","affiliation":[]},{"given":"Ligang","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Ke","family":"Xu","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2019,3,18]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/385372"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/9106404"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/828407"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/1964165"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1155\/2001\/421852"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/3616932"},{"key":"e_1_2_10_7_2","first-page":"528","article-title":"An estimation method of ammunition storage life based on poisson process","volume":"26","author":"Zheng B.","year":"2005","journal-title":"Acta Armamentarli"},{"key":"e_1_2_10_8_2","doi-asserted-by":"crossref","unstructured":"GulloL. 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Models and methods for determining storage reliability Proceedings of the 2013 Annual Reliability and Maintainability Symposium (RAMS) 2013 Orlando Fla USA 1\u20136 https:\/\/doi.org\/10.1109\/RAMS.2013.6517704.","DOI":"10.1109\/RAMS.2013.6517704"},{"key":"e_1_2_10_9_2","first-page":"342","article-title":"Forecast model for real time reliability of storage system based on periodic inspection and maintenance data","volume":"14","author":"Su C.","year":"2012","journal-title":"Eksploatacja I Niezawodnosc-Maintenance and Reliability"},{"key":"e_1_2_10_10_2","first-page":"1671","article-title":"Storage reliability assessment for missile component with degradation failure mode in a temperature varying environment","volume":"33","author":"Liu Z.","year":"2012","journal-title":"Acta Aeronautica Et Astronautica Sinica"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/tie.2014.2308135"},{"key":"e_1_2_10_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2014.07.015"},{"key":"e_1_2_10_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2016.10.024"},{"key":"e_1_2_10_14_2","first-page":"545","article-title":"Estimation of fuze storage life based on stepped stress accelerated life testing","volume":"23","author":"Zheng B.","year":"2003","journal-title":"Transactions of Beijing Institute of Technology"},{"key":"e_1_2_10_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2005.847247"},{"key":"e_1_2_10_16_2","doi-asserted-by":"publisher","DOI":"10.1080\/09617353.2010.11690915"},{"key":"e_1_2_10_17_2","first-page":"1948","article-title":"Research on acceleration factor estimation method of accelerated life test of missile-borne equipment","volume":"37","author":"Shen Z. 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Ammunition storage reliability forecasting based on radial basis function neural network Proceedings of the 2012 International Conference on Quality Reliability Risk Maintenance and Safety Engineering 2012 Chengdu China 599\u2013602 2-s2.0-84866604528.","DOI":"10.1109\/ICQR2MSE.2012.6246305"},{"key":"e_1_2_10_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2009.11.005"},{"key":"e_1_2_10_24_2","first-page":"1701","article-title":"Multi-objective particle swarm optimization for uncertain reliability optimization problems","volume":"30","author":"Zhang E.-Z.","year":"2015","journal-title":"Control and Decision"},{"key":"e_1_2_10_25_2","doi-asserted-by":"crossref","unstructured":"GongH. ZhangE. M. andYaoJ. BP neural network optimized by PSO algorithm on ammunition storage reliability prediction Proceedings of the 2017 Chinese Automation Congress (CAC) 2017 Jinan China 692\u2013696 2-s2.0-85050292658.","DOI":"10.1109\/CAC.2017.8242856"},{"key":"e_1_2_10_26_2","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/9529526"},{"key":"e_1_2_10_27_2","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/5024867"},{"key":"e_1_2_10_28_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7616537"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2019\/5039097.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2019\/5039097.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2019\/5039097","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T11:31:10Z","timestamp":1723030270000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2019\/5039097"}},"subtitle":[],"editor":[{"given":"Pedro","family":"Palos","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2019,1]]},"references-count":28,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,1]]}},"alternative-id":["10.1155\/2019\/5039097"],"URL":"https:\/\/doi.org\/10.1155\/2019\/5039097","archive":["Portico"],"relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"type":"print","value":"1076-2787"},{"type":"electronic","value":"1099-0526"}],"subject":[],"published":{"date-parts":[[2019,1]]},"assertion":[{"value":"2018-11-30","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-02-24","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-03-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"5039097"}}