{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:38:54Z","timestamp":1765546734556},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2021,2,5]],"date-time":"2021-02-05T00:00:00Z","timestamp":1612483200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,2,5]],"date-time":"2021-02-05T00:00:00Z","timestamp":1612483200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1007\/s00521-020-05585-0","type":"journal-article","created":{"date-parts":[[2021,2,5]],"date-time":"2021-02-05T08:26:30Z","timestamp":1612513590000},"page":"3301-3309","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Neural network in sports cluster analysis"],"prefix":"10.1007","volume":"34","author":[{"given":"Yanhua","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuehua","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shan","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,5]]},"reference":[{"issue":"1","key":"5585_CR1","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/s40264-016-0456-3","volume":"40","author":"RE Chandler","year":"2017","unstructured":"Chandler RE, Juhlin K, Fransson J et al (2017) Current safety concerns with human papillomavirus vaccine: a cluster analysis of reports in vigibase. Drug Saf 40(1):81\u201390","journal-title":"Drug Saf"},{"issue":"99","key":"5585_CR2","doi-asserted-by":"publisher","first-page":"4392","DOI":"10.1109\/TIE.2017.2764844","volume":"65","author":"FC Chen","year":"2018","unstructured":"Chen FC, Jahanshahi RMR (2018) NB-CNN: deep learning-based crack detection using bp neural network and na\u00efve bayes data fusion. IEEE Trans Industr Electron 65(99):4392\u20134400","journal-title":"IEEE Trans Industr Electron"},{"issue":"09","key":"5585_CR3","first-page":"81","volume":"61","author":"X Feng","year":"2018","unstructured":"Feng X, Qin B, Liu T (2018) A language-independent neural network for event detection ece China. Inf ences 61(09):81\u201392","journal-title":"Inf ences"},{"issue":"99","key":"5585_CR4","doi-asserted-by":"publisher","first-page":"5990","DOI":"10.1109\/TIE.2017.2774777","volume":"65","author":"L Wen","year":"2018","unstructured":"Wen L, Li X, Gao L et al (2018) A new BP neural network-based data-driven fault diagnosis method. IEEE Trans Industr Electron 65(99):5990\u20135998","journal-title":"IEEE Trans Industr Electron"},{"issue":"3","key":"5585_CR5","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1109\/JSTARS.2018.2794888","volume":"11","author":"Q Yuan","year":"2018","unstructured":"Yuan Q, Wei Y, Meng X et al (2018) A multiscale and multidepth BP neural network for remote sensing imagery pan-sharpening. IEEE J Select Topics Appl Earth Observ Remote Sens 11(3):978\u2013989","journal-title":"IEEE J Select Topics Appl Earth Observ Remote Sens"},{"issue":"1","key":"5585_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10916-017-0845-x","volume":"42","author":"SH Wang","year":"2018","unstructured":"Wang SH, Lv YD, Sui Y et al (2018) Alcoholism detection by data augmentation and BP neural network with stochastic pooling. J Med Syst 42(1):1\u201311","journal-title":"J Med Syst"},{"issue":"9","key":"5585_CR7","doi-asserted-by":"publisher","first-page":"1633","DOI":"10.1109\/TASLP.2018.2831456","volume":"26","author":"Z Chunlei","year":"2018","unstructured":"Chunlei Z, Kazuhito K, Hansen JHL (2018) Text-independent speaker verification based on triplet BP neural network embeddings. IEEE\/ACM Trans Audio Speech Language Process 26(9):1633\u20131644","journal-title":"IEEE\/ACM Trans Audio Speech Language Process"},{"issue":"010","key":"5585_CR8","doi-asserted-by":"publisher","first-page":"1733","DOI":"10.1007\/s11425-018-9387-x","volume":"61","author":"E Weinan","year":"2018","unstructured":"Weinan E, Wang Q (2018) Exponential convergence of the deep neural network approximation for analytic functions ence. China Math 61(010):1733\u20131740","journal-title":"China Math"},{"key":"5585_CR9","doi-asserted-by":"publisher","first-page":"10799","DOI":"10.1007\/s00521-018-3395-3","volume":"32","author":"I Fister","year":"2020","unstructured":"Fister I, Fister D, Deb S et al (2020) Post hoc analysis of sport performance with differential evolution. Neural Comput Appl 32:10799\u201310808","journal-title":"Neural Comput Appl"},{"issue":"99","key":"5585_CR10","doi-asserted-by":"publisher","first-page":"9454","DOI":"10.1109\/ACCESS.2018.2789866","volume":"6","author":"L Zhang","year":"2018","unstructured":"Zhang L, Luo T, Zhanga F et al (2018) A recommendation model based on deep neural network. IEEE Access 6(99):9454\u20139463","journal-title":"IEEE Access"},{"issue":"002","key":"5585_CR11","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1049\/cje.2017.09.018","volume":"27","author":"J Wenbin","year":"2018","unstructured":"Wenbin J, Peilin L, Fei W (2018) Speech Magnitude spectrum reconstruction from MFCCs using deep neural network. Chinese J Electron 27(002):393\u2013398","journal-title":"Chinese J Electron"},{"issue":"1","key":"5585_CR12","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1109\/TCSI.2017.2735490","volume":"65","author":"L Du","year":"2018","unstructured":"Du L, Du Y, Li Y et al (2018) A reconfigurable streaming deep bp neural network accelerator for internet of things. IEEE Trans Circuits Syst I Regul Pap 65(1):198\u2013208","journal-title":"IEEE Trans Circuits Syst I Regul Pap"},{"issue":"2","key":"5585_CR13","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1109\/TIM.2017.2775345","volume":"67","author":"J Chen","year":"2018","unstructured":"Chen J, Liu Z, Wang H et al (2018) Automatic defect detection of fasteners on the catenary support device using deep BP neural network. IEEE Trans Instrum Meas 67(2):257\u2013269","journal-title":"IEEE Trans Instrum Meas"},{"issue":"6","key":"5585_CR14","doi-asserted-by":"publisher","first-page":"1839","DOI":"10.1109\/TCYB.2017.2715980","volume":"48","author":"F Wang","year":"2018","unstructured":"Wang F, Chen B, Lin C et al (2018) Adaptive neural network finite-time output feedback control of quantized nonlinear systems. IEEE Trans Cybern 48(6):1839\u20131848","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"5585_CR15","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1109\/TLA.2018.8291461","volume":"16","author":"AY Alanis","year":"2018","unstructured":"Alanis AY (2018) Electricity prices forecasting using artificial neural networks. IEEE Latin Am Trans 16(1):105\u2013111","journal-title":"IEEE Latin Am Trans"},{"issue":"3","key":"5585_CR16","first-page":"326","volume":"22","author":"N Kohl","year":"2018","unstructured":"Kohl N, Miikkulainen R (2018) Evolving neural networks for strategic decision-making problems. Ann Surg Oncol 22(3):326\u2013337","journal-title":"Ann Surg Oncol"},{"issue":"10","key":"5585_CR17","first-page":"1","volume":"77","author":"Y Fang","year":"2018","unstructured":"Fang Y, Zhang C, Yang W et al (2018) Blind visual quality assessment for image super-resolution by BP neural network. Multimed Tools Appl 77(10):1\u201318","journal-title":"Multimed Tools Appl"},{"issue":"9","key":"5585_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/adma.201705914","volume":"30","author":"M Hu","year":"2018","unstructured":"Hu M, Graves CE, Li C et al (2018) Memristor-based analog computation and neural network classification with a dot product engine. Adv Mater 30(9):1\u201310","journal-title":"Adv Mater"},{"issue":"1","key":"5585_CR19","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1002\/gps.4286","volume":"31","author":"M Sinyor","year":"2016","unstructured":"Sinyor M, Tan LP, Schaffer A et al (2016) Suicide in the oldest old: an observational study and cluster analysis. Int J Geriatric Psychiat 31(1):33\u201340","journal-title":"Int J Geriatric Psychiat"},{"issue":"4","key":"5585_CR20","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1007\/s13202-015-0224-4","volume":"6","author":"SK Mahjour","year":"2016","unstructured":"Mahjour SK, Al-Askari MKG, Masihi M (2016) Identification of flow units using methods of Testerman statistical zonation, flow zone index, and cluster analysis in Tabnaak gas field. J Petrol Explor Prod Technol 6(4):577\u2013592","journal-title":"J Petrol Explor Prod Technol"},{"issue":"4","key":"5585_CR21","doi-asserted-by":"publisher","first-page":"1055","DOI":"10.1016\/j.joi.2016.09.003","volume":"10","author":"L Wildgaard","year":"2016","unstructured":"Wildgaard L (2016) A critical cluster analysis of 44 indicators of author-level performance. J Inform 10(4):1055\u20131078","journal-title":"J Inform"},{"issue":"2","key":"5585_CR22","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.jinf.2016.04.038","volume":"73","author":"A Glatman-Freedman","year":"2016","unstructured":"Glatman-Freedman A, Kaufman Z, Kopel E et al (2016) Near real-time space-time cluster analysis for detection of enteric disease outbreaks in a community setting. J Infect 73(2):99\u2013106","journal-title":"J Infect"},{"issue":"1","key":"5585_CR23","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1002\/ajim.22520","volume":"59","author":"A Hall","year":"2016","unstructured":"Hall A, Oudyk J, King A et al (2016) Identifying knowledge activism in worker health and safety representation: A cluster analysis. Am J Ind Med 59(1):42\u201356","journal-title":"Am J Ind Med"},{"issue":"7","key":"5585_CR24","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.1590\/0103-8478cr20150418","volume":"46","author":"CDAC Da","year":"2016","unstructured":"Da CDAC, Pelicioni SR (2016) Santana Anna\u00edza Braga Bignardi Cluster analysis of breeding values for milk yield and lactation persistency in Guzer\u00e1 cattle. Ciencia Rural 46(7):1281\u20131288","journal-title":"Ciencia Rural"},{"issue":"08","key":"5585_CR25","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1055\/s-0042-100281","volume":"37","author":"F Damas","year":"2016","unstructured":"Damas F, Nosaka K, Libardi C et al (2016) Susceptibility to exercise-induced muscle damage: a cluster analysis with a large sample. Int J Sports Med 37(08):633\u2013640","journal-title":"Int J Sports Med"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05585-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-020-05585-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05585-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,24]],"date-time":"2022-02-24T06:31:34Z","timestamp":1645684294000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-020-05585-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,5]]},"references-count":25,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,3]]}},"alternative-id":["5585"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-05585-0","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,5]]},"assertion":[{"value":"14 September 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 December 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 February 2021","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 regarding the publication of the research article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}