{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T14:33:21Z","timestamp":1772721201376,"version":"3.50.1"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T00:00:00Z","timestamp":1552867200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1007\/s00521-019-04136-6","type":"journal-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T09:02:54Z","timestamp":1552899774000},"page":"1543-1553","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["Research on supply chain partner selection method based on BP neural network"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8062-1477","authenticated-orcid":false,"given":"Li","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenxue","family":"Ran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,3,18]]},"reference":[{"key":"4136_CR1","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1016\/j.ins.2017.08.048","volume":"418","author":"M Kumar","year":"2017","unstructured":"Kumar M, Mao YH, Wang YH, Qiu TR, Yang C, Zhang WP (2017) Fuzzy theoretic approach to signals and systems: static systems. Inf Sci 418:668\u2013702","journal-title":"Inf Sci"},{"issue":"3","key":"4136_CR2","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1016\/j.sjbs.2017.01.027","volume":"24","author":"WP Zhang","year":"2017","unstructured":"Zhang WP, Yang JZ, Fang YL, Chen HY, Mao YH, Kumar M (2017) Analytical fuzzy approach to biological data analysis. Saudi J Biol Sci 24(3):563\u2013573","journal-title":"Saudi J Biol Sci"},{"issue":"1","key":"4136_CR3","doi-asserted-by":"publisher","first-page":"146","DOI":"10.3390\/ijerph15010146","volume":"15","author":"L Huang","year":"2018","unstructured":"Huang L, Huang J, Wang W (2018) The sustainable development assessment of reservoir resettlement based on a BP neural network. Int J Environ Res Public Health 15(1):146","journal-title":"Int J Environ Res Public Health"},{"issue":"2","key":"4136_CR4","doi-asserted-by":"publisher","first-page":"146","DOI":"10.3390\/app8020146","volume":"8","author":"Z Jia","year":"2018","unstructured":"Jia Z, Ren L, Li H et al (2018) Pipeline leak localization based on FBG hoop strain sensors combined with BP neural network. Appl Sci 8(2):146","journal-title":"Appl Sci"},{"issue":"06","key":"4136_CR5","first-page":"112","volume":"35","author":"N Zhang","year":"2018","unstructured":"Zhang N (2018) Application of multimedia teaching technology in physical education class. Mod Salt Chem Ind 35(06):112\u2013120","journal-title":"Mod Salt Chem Ind"},{"issue":"06","key":"4136_CR6","first-page":"112","volume":"35","author":"L Hao","year":"2018","unstructured":"Hao L, Hu D (2018) A study on early warning of supply chain collaboration risk in t-jit environment based on bp neural network and bee colony algorithm. J Highw Transp Res Dev 35(06):112\u2013120","journal-title":"J Highw Transp Res Dev"},{"issue":"05","key":"4136_CR7","first-page":"37","volume":"38","author":"Z Zeng","year":"2018","unstructured":"Zeng Z, Huang C (2018) Study on the Trend Prediction Model of Sudden Infectious Diseases Based on BP Neural Network. J Mod Inf 38(05):37\u201344+52","journal-title":"J Mod Inf"},{"issue":"04","key":"4136_CR8","first-page":"26","volume":"2018","author":"YJ Han","year":"2018","unstructured":"Han YJ (2018) Phase space reconstruction online prediction of short-term wind speed power generation based on BP neural network of wind farms. Equip Manuf Technol 2018(04):26\u201329+44","journal-title":"Equip Manuf Technol"},{"issue":"04","key":"4136_CR9","first-page":"9","volume":"39","author":"H Cao","year":"2018","unstructured":"Cao H, Zhu X (2018) Application of online optimized Kalman filter using BP neural network on SOC estimation of vanadium redox flow battery. Electr Power Constr 39(04):9\u201314","journal-title":"Electr Power Constr"},{"issue":"01","key":"4136_CR10","first-page":"16","volume":"36","author":"ZX Nong","year":"2018","unstructured":"Nong ZX, Wang C, Lei XH (2018) Long-term runoff forecasting in Ganjiang River Basin based on principal component analysis and BP neural network. Water Resour Power 36(01):16\u201319","journal-title":"Water Resour Power"},{"issue":"01","key":"4136_CR11","first-page":"87","volume":"38","author":"H Zhang","year":"2018","unstructured":"Zhang H, Chen Q (2018) Research on the structure of Journal Academic Influence Measurement Indexes\u2014based on BP neural network and DEMATEL model. J Mod Inf 38(01):87\u201391+99","journal-title":"J Mod Inf"},{"issue":"12","key":"4136_CR12","first-page":"76","volume":"2018","author":"JF Guo","year":"2018","unstructured":"Guo JF, Wang XQ, Hu Z-Y et al (2018) Research on the development level of silk road economic belt based on entropy method and LM-BP neural network. Econ Res Guide 2018(12):76\u201383+197","journal-title":"Econ Res Guide"},{"issue":"10","key":"4136_CR13","first-page":"3534","volume":"38","author":"J Lin","year":"2018","unstructured":"Lin J, Pan Y, Yang M et al (2018) Quantitative inversion of long sequential leaf area index using remote sensing based on BP neural network from 1988 to 2013. Acta Ecol Sin 38(10):3534\u20133542","journal-title":"Acta Ecol Sin"},{"issue":"04","key":"4136_CR14","first-page":"1","volume":"49","author":"X Chen","year":"2018","unstructured":"Chen X, Wang F, Qi W et al (2018) Application of genetic algorithm-based BP neural network model to prediction of groundwater groundwater buried depth\u2014a case study of Mengcheng County. Water Resour Hydropower Eng 49(04):1\u20137","journal-title":"Water Resour Hydropower Eng"},{"issue":"03","key":"4136_CR15","first-page":"367","volume":"38","author":"L Zhang","year":"2018","unstructured":"Zhang L, Liu XM, Lai XP et al (2018) Optimization of coupled fracturing scheme for steeply inclined coal seam based on BP neural network. J Xian Univ Sci Technol 38(03):367\u2013374","journal-title":"J Xian Univ Sci Technol"},{"issue":"03","key":"4136_CR16","first-page":"73","volume":"32","author":"J Ma","year":"2018","unstructured":"Ma J, Zhao F, Xu X et al (2018) Fault diagnosis of analog circuit based on optimized BP neural network with MRA-PCA-PSO technology. J Electron Meas Instrum 32(03):73\u201379","journal-title":"J Electron Meas Instrum"},{"issue":"12","key":"4136_CR17","first-page":"65","volume":"45","author":"CE Chen","year":"2018","unstructured":"Chen CE (2018) Application of quality safety management evaluation system for construction supervision based on BP neural network. Build Technol Dev 45(12):65\u201366","journal-title":"Build Technol Dev"},{"issue":"10","key":"4136_CR18","first-page":"154","volume":"2018","author":"RA Yin","year":"2018","unstructured":"Yin RA, Da-Sheng WU, Zhou RY et al (2018) Dynamic estimation of forest resources amount of growing stock based on BP neural network model. Mod Agric. Sci Technol 2018(10):154\u2013155+161","journal-title":"Sci Technol"},{"issue":"07","key":"4136_CR19","first-page":"125","volume":"25","author":"T Dai","year":"2018","unstructured":"Dai T, Lei X, Jiefeng XU (2018) Research on partner selection of agile building supply chain. Urban Dev Stud 25(07):125\u2013127","journal-title":"Urban Dev Stud"},{"issue":"06","key":"4136_CR20","doi-asserted-by":"publisher","first-page":"1777","DOI":"10.1142\/S0219622018500438","volume":"17","author":"G Yu","year":"2018","unstructured":"Yu G, Zhang L, Sun H (2018) A method for partner selection of supply chain using interval-valued fuzzy sets\u2014fuzzy Choquet integral and improved Dempster-Shafer theory. Int J Inf Technol Decis Mak 17(06):1777\u20131804","journal-title":"Int J Inf Technol Decis Mak"},{"issue":"03","key":"4136_CR21","first-page":"123","volume":"23","author":"LI Bai-Zhou","year":"2018","unstructured":"Bai-Zhou LI, Yin S, Luo XF (2018) Research on dynamic selection of cooperative innovation partners in integrated supply chain enterprises. Ind Eng Manag 23(03):123\u2013131","journal-title":"Ind Eng Manag"},{"issue":"1","key":"4136_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s12597-017-0326-5","volume":"55","author":"N Kafa","year":"2018","unstructured":"Kafa N, Hani Y, Mhamedi AE (2018) Evaluating and selecting partners in sustainable supply chain network: a comparative analysis of combined fuzzy multi-criteria approaches. Opsearch 55(1):1\u201336","journal-title":"Opsearch"},{"key":"4136_CR23","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.jclepro.2018.05.247","volume":"196","author":"F Zhou","year":"2018","unstructured":"Zhou F, Wang X, Ming KL et al (2018) Sustainable recycling partner selection using fuzzy DEMATEL-AEW-FVIKOR: a case study in small-and-medium enterprises (SMEs). J Clean Prod 196:489\u2013504","journal-title":"J Clean Prod"},{"issue":"2","key":"4136_CR24","doi-asserted-by":"publisher","first-page":"765","DOI":"10.3846\/20294913.2017.1295289","volume":"24","author":"K Chatterjee","year":"2018","unstructured":"Chatterjee K, Kar S (2018) Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method. Technol Econ Dev Econ 24(2):765\u2013791","journal-title":"Technol Econ Dev Econ"},{"issue":"2","key":"4136_CR25","doi-asserted-by":"publisher","first-page":"765","DOI":"10.3846\/20294913.2017.1295289","volume":"24","author":"K Chatterjee","year":"2018","unstructured":"Chatterjee K, Kar S (2018) Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method. Technol Econ Dev Econ 24(2):765\u2013791","journal-title":"Technol Econ Dev Econ"},{"key":"4136_CR26","doi-asserted-by":"crossref","unstructured":"Xu L, Shi X, Xie Y et al (2018) Corporate social responsibility-based supplier selection process in sustainable supply chains","DOI":"10.4018\/978-1-5225-6192-7.ch009"},{"key":"4136_CR27","doi-asserted-by":"publisher","first-page":"1219","DOI":"10.1007\/s10845-015-1172-z","volume":"29","author":"SA Ghasimi","year":"2018","unstructured":"Ghasimi SA, Ramli R, Saibani N et al (2018) An uncertain mathematical model to maximize profit of the defective goods supply chain by selecting appropriate suppliers. J Intell Manuf 29:1219\u20131234","journal-title":"J Intell Manuf"},{"key":"4136_CR28","first-page":"1","volume":"1","author":"M Goswami","year":"2018","unstructured":"Goswami M (2018) Supply chain centric product line selection: a functional risk focused approach. Int J Prod Res 1:1\u201323","journal-title":"Int J Prod Res"},{"issue":"4","key":"4136_CR29","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1002\/bse.2016","volume":"27","author":"RK Malviya","year":"2018","unstructured":"Malviya RK, Kant R, Gupta AD (2018) Evaluation and selection of sustainable strategy for green supply chain management implementation. Bus Strategy Environ 27(4):475\u2013502","journal-title":"Bus Strategy Environ"},{"issue":"08","key":"4136_CR30","first-page":"1461","volume":"33","author":"Y Cao","year":"2018","unstructured":"Cao Y, Li Y-M, Wu K et al (2018) Supply selection mechanism of two echelon fresh produce supply chain based on heterogeneity of consumers. Control Decis 33(08):1461\u20131470","journal-title":"Control Decis"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04136-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-019-04136-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04136-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,17]],"date-time":"2020-03-17T00:33:54Z","timestamp":1584405234000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-019-04136-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,18]]},"references-count":30,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2020,3]]}},"alternative-id":["4136"],"URL":"https:\/\/doi.org\/10.1007\/s00521-019-04136-6","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,18]]},"assertion":[{"value":"23 December 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 March 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 March 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}