{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T14:33:24Z","timestamp":1772721204536,"version":"3.50.1"},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"S2","license":[{"start":{"date-parts":[[2017,12,9]],"date-time":"2017-12-09T00:00:00Z","timestamp":1512777600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71471143"],"award-info":[{"award-number":["71471143"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources (Wuhan University of Science and Technology) Opening Foundation","award":["2016zy013"],"award-info":[{"award-number":["2016zy013"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2019,3]]},"DOI":"10.1007\/s10586-017-1430-2","type":"journal-article","created":{"date-parts":[[2017,12,9]],"date-time":"2017-12-09T12:17:36Z","timestamp":1512821856000},"page":"2677-2688","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Modeling and predicting remanufacturing time of equipment using deep belief networks"],"prefix":"10.1007","volume":"22","author":[{"given":"Lei","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuhui","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhua","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,12,9]]},"reference":[{"key":"1430_CR1","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1016\/j.jclepro.2015.02.014","volume":"94","author":"SG Wei","year":"2015","unstructured":"Wei, S.G., Cheng, D.B., Erik, S., Tang, O.: Motives and barriers of the remanufacturing industry in China. J. Clean. Prod. 94, 340\u2013351 (2015)","journal-title":"J. Clean. Prod."},{"key":"1430_CR2","volume-title":"Managing Condition Variability in Remanufacturing","author":"MR Galbreth","year":"2006","unstructured":"Galbreth, M.R.: Managing Condition Variability in Remanufacturing. Vanderbilt University, Tennessee (2006)"},{"issue":"1","key":"1430_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1287\/mnsc.1050.0465","volume":"52","author":"G Ferrer","year":"2006","unstructured":"Ferrer, G., Swaminathan, J.M.: Managing new and remanufactured products. Manag. Sci. 52(1), 1\u201314 (2006)","journal-title":"Manag. Sci."},{"issue":"1","key":"1430_CR4","first-page":"41","volume":"23","author":"X Li","year":"2008","unstructured":"Li, X., Da, Q.: Monopoly production optimization problem for remanufacturing cost with stochastic distribution. Control Decis. 23(1), 41\u201345 (2008)","journal-title":"Control Decis."},{"key":"1430_CR5","first-page":"258","volume":"9","author":"Z Liu","year":"2011","unstructured":"Liu, Z., Bi, D., Liu, T.: Estimating for remanufacturing cost of mechanical and electrical products based on linear regression. Mach. Des. Manuf. 9, 258\u2013260 (2011)","journal-title":"Mach. Des. Manuf."},{"key":"1430_CR6","doi-asserted-by":"crossref","unstructured":"Liu, J., Wei, W., Gu, X.: Reverse logistics cost prediction Based on BP neural network. In: International Conference on Artificial Intelligence, pp. 5139\u20135141. IEEE (2011)","DOI":"10.1109\/AIMSEC.2011.6010268"},{"key":"1430_CR7","unstructured":"Lu, H., Wang, X.: Research on a prediction model of the project cost based on the fuzzy pattern recognition and BP neural network. Project Manag. Technol. 11(5), 57\u201362 (2013)"},{"issue":"8","key":"1430_CR8","first-page":"896","volume":"36","author":"J Hong","year":"2010","unstructured":"Hong, J., Han, L., Miao, X.: Assessment based on support vector machine for rolling bearing grade-life. J. Beijing Univ. Aeronaut. Astronaut. 36(8), 896\u2013899 (2010)","journal-title":"J. Beijing Univ. Aeronaut. Astronaut."},{"issue":"4","key":"1430_CR9","doi-asserted-by":"publisher","first-page":"582","DOI":"10.3390\/en4040582","volume":"4","author":"H He","year":"2011","unstructured":"He, H., Xiong, R., Fan, J.: Evaluation of lithium-ion battery equivalent circuit models for state of charge estimation by an experimental approach. Energies 4(4), 582\u2013598 (2011)","journal-title":"Energies"},{"issue":"12","key":"1430_CR10","doi-asserted-by":"publisher","first-page":"4178","DOI":"10.1109\/TIE.2010.2043035","volume":"57","author":"M Charkhgard","year":"2010","unstructured":"Charkhgard, M., Farrokhi, M.: State-of-charge estimation for lithium-ion batteries using neural networks and EKF. IEEE Trans. Ind. Electron. 57(12), 4178\u20134187 (2010)","journal-title":"IEEE Trans. Ind. Electron."},{"key":"1430_CR11","first-page":"1","volume":"6","author":"N Mohammad","year":"2017","unstructured":"Mohammad, N., Tamleek, A.T., Sohail, K., Toqeer, A.S.: Deep neural architectures for large scale android malware analysis. Clust. Comput. 6, 1\u201320 (2017)","journal-title":"Clust. Comput."},{"issue":"3","key":"1430_CR12","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1002\/spe.2426","volume":"47","author":"W Zhang","year":"2017","unstructured":"Zhang, W., Duan, P., Yang, L.T., et al.: Resource requests prediction in the cloud computing environment with a deep belief network. Softw. Pract. Exp. 47(3), 473\u2013488 (2017)","journal-title":"Softw. Pract. Exp."},{"key":"1430_CR13","first-page":"1","volume":"5","author":"K Donghwoon","year":"2017","unstructured":"Donghwoon, K., Hyunjoo, K., Jinoh, K., et al.: A survey of deep learning-based network anomaly detection. Clust. Comput. 5, 1\u201313 (2017)","journal-title":"Clust. Comput."},{"key":"1430_CR14","first-page":"108","volume":"16","author":"J Fan","year":"2014","unstructured":"Fan, J.: Research on the coal equipment manufacturing model based on the life cycle. Chin. Manage. Inf. 16, 108\u2013111 (2014)","journal-title":"Chin. Manage. Inf."},{"key":"1430_CR15","volume-title":"Research of Evaluation the Remanufacturability of Electromec-Hanical Products","author":"L Shen","year":"2008","unstructured":"Shen, L.: Research of Evaluation the Remanufacturability of Electromec-Hanical Products. Shandong University, Jinan (2008)"},{"issue":"9","key":"1430_CR16","doi-asserted-by":"publisher","first-page":"913","DOI":"10.1016\/j.jclepro.2004.04.006","volume":"13","author":"S Erik","year":"2005","unstructured":"Erik, S., Bert, B.: Making functional sales environmentally and economically beneficial through product remanufacturing. J. Clean. Prod. 13(9), 913\u2013925 (2005)","journal-title":"J. Clean. Prod."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-017-1430-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10586-017-1430-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-017-1430-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T13:05:51Z","timestamp":1751115951000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10586-017-1430-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12,9]]},"references-count":16,"journal-issue":{"issue":"S2","published-print":{"date-parts":[[2019,3]]}},"alternative-id":["1430"],"URL":"https:\/\/doi.org\/10.1007\/s10586-017-1430-2","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,12,9]]},"assertion":[{"value":"25 August 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 November 2017","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 November 2017","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 December 2017","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}