{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:28:26Z","timestamp":1766269706496,"version":"3.37.3"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"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":["Int J Syst Assur Eng Manag"],"published-print":{"date-parts":[[2021,8]]},"DOI":"10.1007\/s13198-021-01103-0","type":"journal-article","created":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T09:04:04Z","timestamp":1618304644000},"page":"801-812","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["The implementation of leisure tourism enterprise management system based on deep learning"],"prefix":"10.1007","volume":"12","author":[{"given":"Wei","family":"Qian","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5000-1480","authenticated-orcid":false,"given":"Yuemeng","family":"Ge","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,4,13]]},"reference":[{"issue":"9","key":"1103_CR1","doi-asserted-by":"publisher","first-page":"22","DOI":"10.17010\/ijf\/2019\/v13i9\/147096","volume":"13","author":"A Bhattacharya","year":"2019","unstructured":"Bhattacharya A, Dutta A (2019) Demographic factors impacting the financial risk tolerance of retail investors of urban West Bengal. Indian J Finance 13(9):22\u201331","journal-title":"Indian J Finance"},{"issue":"3","key":"1103_CR2","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1108\/JRF-05-2018-0083","volume":"20","author":"TM Brunner-Kirchmair","year":"2019","unstructured":"Brunner-Kirchmair TM, Wiener M (2019) Knowledge is power\u2014conceptualizing collaborative financial risk assessment. J Risk Finance 20(3):226\u2013248","journal-title":"J Risk Finance"},{"issue":"56","key":"1103_CR3","first-page":"234","volume":"284","author":"R Castellano","year":"2020","unstructured":"Castellano R, Cerqueti R (2020) Exploring the financial risk of a temperature index: a fractional integrated approach. Ann Oper Res 284(56):234\u2013241","journal-title":"Ann Oper Res"},{"key":"1103_CR4","doi-asserted-by":"crossref","unstructured":"Chen M (2021) Perception of leisure agricultural tourism image based on wed text analysis: case of yearning tea plantation. In: E3S web of conferences, vol 235, No. 3, p 02013","DOI":"10.1051\/e3sconf\/202123502013"},{"issue":"1","key":"1103_CR5","doi-asserted-by":"publisher","first-page":"417","DOI":"10.31336\/JTLR.2019.1.31.1.417","volume":"31","author":"BK Cho","year":"2019","unstructured":"Cho BK (2019) A study on the effects of workplace and learning dual system on sustainability, adherency degree and satisfaction of industry-university cooperation. J Tour Leisure Res 31(1):417\u2013435","journal-title":"J Tour Leisure Res"},{"issue":"1","key":"1103_CR6","first-page":"132","volume":"13","author":"A Ghanaati","year":"2020","unstructured":"Ghanaati A, Sjblom J, Faghani E (2020) Design of a virtual test cell based on GMDH-type neural network for a heavy-duty diesel engine. Proc Inst Mech Eng Part D J Automob Eng 13(1):132\u2013143","journal-title":"Proc Inst Mech Eng Part D J Automob Eng"},{"issue":"12","key":"1103_CR7","first-page":"82","volume":"548","author":"AV Glushchenko","year":"2020","unstructured":"Glushchenko AV, Slozhenkina MI, Samedova EN et al (2020) Financial risks of sustainable development of small agricultural enterprises assessed to ensure national food security. IOP Conf Ser Earth Environ Sci 548(12):82\u201391","journal-title":"IOP Conf Ser Earth Environ Sci"},{"issue":"1","key":"1103_CR8","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1007\/s12559-019-09667-7","volume":"12","author":"AN Gorban","year":"2020","unstructured":"Gorban AN, Mirkes EM, Tukin IY (2020) How deep should be the depth of convolutional neural networks: a backyard dog case study. Cogn Comput 12(1):388\u2013397","journal-title":"Cogn Comput"},{"issue":"14","key":"1103_CR9","first-page":"61","volume":"87","author":"KI Kim","year":"2020","unstructured":"Kim KI, Pak MI, Chon BP et al (2020) A method for underwater acoustic signal classification using convolutional neural network combined with discrete wavelet transform. Int J Wavelets Multiresolut Inf Process 87(14):61\u201365","journal-title":"Int J Wavelets Multiresolut Inf Process"},{"issue":"1","key":"1103_CR10","doi-asserted-by":"publisher","first-page":"220","DOI":"10.4028\/www.scientific.net\/KEM.852.220","volume":"852","author":"R Li","year":"2020","unstructured":"Li R (2020) Research on treatment of retaining wall foundation with geosynthetics based on BP neural network. Key Eng Mater 852(1):220\u2013229","journal-title":"Key Eng Mater"},{"key":"1103_CR11","doi-asserted-by":"publisher","first-page":"1150","DOI":"10.1016\/j.neucom.2017.09.054","volume":"275","author":"Y Li","year":"2018","unstructured":"Li Y, Jiang W, Yang L et al (2018) On neural networks and learning systems for business computing. Neurocomputing 275:1150\u20131159","journal-title":"Neurocomputing"},{"issue":"8","key":"1103_CR12","first-page":"251","volume":"34","author":"Y Lin","year":"2020","unstructured":"Lin Y (2020) Preliminary study on tax risk management of tourism companies under vie framework. Operators 34(8):251\u2013252","journal-title":"Operators"},{"issue":"3","key":"1103_CR13","doi-asserted-by":"publisher","first-page":"032051","DOI":"10.1088\/1755-1315\/252\/3\/032051","volume":"252","author":"M Liu","year":"2019","unstructured":"Liu M (2019) Discussion on the construction of financial risk control system of electric power research institutes under the background of informational. IOP Conf Ser Earth Environ Sci 252(3):032051","journal-title":"IOP Conf Ser Earth Environ Sci"},{"issue":"4","key":"1103_CR14","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1007\/s40558-019-00159-w","volume":"21","author":"P Lopes","year":"2019","unstructured":"Lopes P, Almeida L, Pinto J et al (2019) Open Tourist Information system: a platform for touristic information management and outreach. Inf Technol Tour 21(4):577\u2013593","journal-title":"Inf Technol Tour"},{"key":"1103_CR15","doi-asserted-by":"crossref","unstructured":"Moster B P, Naab T, Lindstrm M et al (2020) GalaxyNet: connecting galaxies and dark matter haloes with deep neural networks and reinforcement learning in large volumes. 99(12):54\u201359","DOI":"10.1093\/mnras\/stab1449"},{"issue":"4","key":"1103_CR16","first-page":"34","volume":"19","author":"M Nabawy","year":"2020","unstructured":"Nabawy M, Ofori G, Morcos M et al (2020) Engineering physics and mathematics risk identification framework in construction of Egyptian mega housing projects. Ain Shams Eng J 19(4):34\u201336","journal-title":"Ain Shams Eng J"},{"issue":"4","key":"1103_CR17","first-page":"311","volume":"51","author":"S Panda","year":"2020","unstructured":"Panda S, Panda G (2020) Performance evaluation of a new BP algorithm for a modified artificial neural network. Neural Process Lett 51(4):311\u2013315","journal-title":"Neural Process Lett"},{"issue":"11","key":"1103_CR18","first-page":"145","volume":"20","author":"M Salehi","year":"2020","unstructured":"Salehi M, Bayaz MLD, Mohammadi S et al (2020) Auditors\u2019 response to readability of financial statement notes. Asian Rev Account 20(11):145\u2013147","journal-title":"Asian Rev Account"},{"issue":"8","key":"1103_CR19","first-page":"36","volume":"373","author":"ZF Song","year":"2018","unstructured":"Song ZF (2018) Exploration on risk control of China\u2019s tourism enterprises from the perspective of financial audit. Audit Financ Manag 373(8):36\u201338","journal-title":"Audit Financ Manag"},{"issue":"8","key":"1103_CR20","first-page":"11","volume":"71","author":"A Takacs","year":"2020","unstructured":"Takacs A, Zink N, Wolff N et al (2020) Connecting EEG signal decomposition and response selection processes using the Theory of Event Coding framework. Hum Brain Mapp 71(8):11\u201313","journal-title":"Hum Brain Mapp"},{"key":"1103_CR21","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.tourman.2018.11.019","volume":"72","author":"ML Verreynne","year":"2019","unstructured":"Verreynne ML, Williams AM, Ritchie BW et al (2019) Innovation diversity and uncertainty in small and medium sized tourism firms. Tour Manag 72:257\u2013269","journal-title":"Tour Manag"},{"issue":"9","key":"1103_CR22","first-page":"57","volume":"42","author":"ZZ Xiao","year":"2020","unstructured":"Xiao ZZ (2020) Application of deep learning in management practice. Future Dev 42(9):57\u201363","journal-title":"Future Dev"},{"issue":"3","key":"1103_CR23","first-page":"98","volume":"10","author":"R Xiao","year":"2020","unstructured":"Xiao R, Li K, Sun L et al (2020) The Prediction of liquid holdup in horizontal pipe with BP neural network. Energy Sci Eng 10(3):98\u2013103","journal-title":"Energy Sci Eng"},{"issue":"6","key":"1103_CR24","first-page":"64","volume":"31","author":"J Xie","year":"2020","unstructured":"Xie J, Huang BH, Chen SX et al (2020) Research on the application of deep learning technology in investor suitability management. Financ Horizon 31(6):64\u201369","journal-title":"Financ Horizon"},{"issue":"3","key":"1103_CR25","doi-asserted-by":"publisher","first-page":"127","DOI":"10.20546\/ijcmas.2020.903.016","volume":"9","author":"AK Yadav","year":"2020","unstructured":"Yadav AK, Chandola VK, Singh A et al (2020) Rainfall-runoff modelling using artificial neural networks (ANNs) model. Int J Curr Microbiol App Sci 9(3):127\u2013135","journal-title":"Int J Curr Microbiol App Sci"},{"issue":"3","key":"1103_CR26","first-page":"26","volume":"1","author":"YN Yan","year":"2020","unstructured":"Yan YN, Su XW, Wan ZL (2020) Application of deep learning technology in customs risk screening. China Insp Quar 1(3):26\u201332","journal-title":"China Insp Quar"},{"issue":"1","key":"1103_CR27","doi-asserted-by":"publisher","first-page":"9","DOI":"10.30857\/2415-3206.2019.1.1","volume":"29","author":"EY Zabashta","year":"2019","unstructured":"Zabashta EY (2019) Theoretical bases of management of enterprise risks. Management 29(1):9\u201321","journal-title":"Management"},{"issue":"8","key":"1103_CR28","first-page":"17","volume":"12","author":"RX Zheng","year":"2019","unstructured":"Zheng RX (2019) Research on risk management system of tourism enterprises based on internal control. Manag Obs 12(8):17\u201319","journal-title":"Manag Obs"},{"issue":"3","key":"1103_CR29","first-page":"216","volume":"540","author":"JG Zhi","year":"2020","unstructured":"Zhi JG (2020) Research on enterprise financial risk identification and internal control countermeasures. Financ Circ (Acad Ed) 540(3):216\u2013216","journal-title":"Financ Circ (Acad Ed)"},{"issue":"12","key":"1103_CR30","first-page":"103","volume":"200","author":"Y Zhou","year":"2020","unstructured":"Zhou Y, Li S (2020) BP neural network modeling with sensitivity analysis on monotonicity based Spearman coefficient. Chemom Intell Lab Syst 200(12):103\u2013107","journal-title":"Chemom Intell Lab Syst"}],"container-title":["International Journal of System Assurance Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13198-021-01103-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13198-021-01103-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13198-021-01103-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,9]],"date-time":"2021-07-09T05:16:08Z","timestamp":1625807768000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13198-021-01103-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,13]]},"references-count":30,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,8]]}},"alternative-id":["1103"],"URL":"https:\/\/doi.org\/10.1007\/s13198-021-01103-0","relation":{},"ISSN":["0975-6809","0976-4348"],"issn-type":[{"type":"print","value":"0975-6809"},{"type":"electronic","value":"0976-4348"}],"subject":[],"published":{"date-parts":[[2021,4,13]]},"assertion":[{"value":"7 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 March 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 April 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 April 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}