{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T08:14:26Z","timestamp":1767168866140,"version":"build-2238731810"},"reference-count":31,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,8,31]],"date-time":"2021-08-31T00:00:00Z","timestamp":1630368000000},"content-version":"vor","delay-in-days":242,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Social Science Fund of China","award":["19BYY157"],"award-info":[{"award-number":["19BYY157"]}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>In recent years, deep learning has made good progress and has been applied to face recognition, video monitoring, image processing, and other fields. In this big data background, deep convolution neural network has also received more and more attention. In order to extract the ancient Chinese characters effectively, the paper will discuss the structure model, pool process, and network training of deep convolution neural network and compare the algorithm with the traditional machine learning algorithm. The results show that the accuracy and recall rate of the Chinese characters in the plaque of Ming Dynasty can reach the peak, 81.38% and 81.31%, respectively. When the number of training samples increases to 50, the recognition rate of MFA is 99.72%, which is much higher than other algorithms. This shows that the algorithm based on deep convolution neural network and big data analysis has excellent performance and can effectively identify the Chinese characters under different dynasties, different sample sizes, and different interference factors, which can provide a powerful reference for the extraction of ancient Chinese characters.<\/jats:p>","DOI":"10.1155\/2021\/2491116","type":"journal-article","created":{"date-parts":[[2021,8,31]],"date-time":"2021-08-31T14:02:35Z","timestamp":1630418555000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["[Retracted] Feature Extraction of Ancient Chinese Characters Based on Deep Convolution Neural Network and Big Data Analysis"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8821-3187","authenticated-orcid":false,"given":"Cheng","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingjun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,8,31]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2017.11.021"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106255"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05401-9"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.3390\/app11093792"},{"key":"e_1_2_9_5_2","first-page":"136","article-title":"The application of deep convolution neural network to building extraction in remote sensing images","volume":"6","author":"Wei Y.","year":"2020","journal-title":"World Scientific Research Journal"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1049\/cje.2020.01.009"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2020.103199"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-021-00794-6"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-08310-9"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.02.015"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2019.03.004"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2019.0241"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1049\/trit.2018.1026"},{"key":"e_1_2_9_14_2","first-page":"2970","article-title":"Multi-nodes link prediction method based on deep convolution neural networks","volume":"46","author":"Shu J.","year":"2018","journal-title":"Tien Tzu Hsueh Pao\/Acta Electronica Sinica"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.01.051"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-4734-6"},{"key":"e_1_2_9_17_2","doi-asserted-by":"publisher","DOI":"10.2472\/jsms.67.177"},{"key":"e_1_2_9_18_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-018-1894-0"},{"key":"e_1_2_9_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.brachy.2017.04.042"},{"key":"e_1_2_9_20_2","first-page":"169","article-title":"Rice panicle blast identification method based on deep convolution neural network","volume":"33","author":"Huang S.","year":"2017","journal-title":"Transactions of the Chinese Society of Agricultural Engineering"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.3390\/s21082853"},{"key":"e_1_2_9_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3009094"},{"key":"e_1_2_9_23_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-017-1626-5"},{"key":"e_1_2_9_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106202"},{"key":"e_1_2_9_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.11.003"},{"key":"e_1_2_9_26_2","first-page":"1","article-title":"Supervised feature selection by constituting a basis for the original space of features and matrix factorization","volume":"11","author":"Saberi-Movahed F.","year":"2019","journal-title":"International Journal of Machine Learning and Cybernetics"},{"key":"e_1_2_9_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2021.104216"},{"key":"e_1_2_9_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/tcsi.2017.2735490"},{"key":"e_1_2_9_29_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-019-02463-w"},{"key":"e_1_2_9_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTQE.2018.2859234"},{"key":"e_1_2_9_31_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41578-020-00235-2"}],"updated-by":[{"DOI":"10.1155\/2023\/9801976","type":"retraction","label":"Retraction","source":"retraction-watch","updated":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T00:00:00Z","timestamp":1690934400000},"record-id":"48256"},{"DOI":"10.1155\/2023\/9801976","type":"retraction","label":"Retraction","source":"publisher","updated":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T00:00:00Z","timestamp":1690934400000}}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/2491116.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/2491116.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/2491116","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T07:26:14Z","timestamp":1722929174000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/2491116"}},"subtitle":[],"editor":[{"given":"Syed Hassan","family":"Ahmed","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":31,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/2491116"],"URL":"https:\/\/doi.org\/10.1155\/2021\/2491116","archive":["Portico"],"relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"value":"1687-5265","type":"print"},{"value":"1687-5273","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2021-06-30","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-08-18","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-08-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2491116"}}