{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T00:41:59Z","timestamp":1770165719258,"version":"3.49.0"},"reference-count":8,"publisher":"SAGE Publications","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2020,12,4]]},"abstract":"<jats:p>At present, the evaluation of normal teaching order and teaching quality has been seriously interfered by the impact of COVID-19. In order to ensure the quality of art classroom teaching, this article uses BP neural network technology to build a model for art teaching quality evaluation during the epidemic. Based on the introduction of the BP neural network model and the problems of art teaching quality evaluation, the article focuses on the art teaching quality evaluation indicators and the BP neural network algorithm and process. In addition, the article also uses an empirical method to verify the effect of the BP network model training method, and obtains the expected effect. Finally, it discusses the problem of information processing in art teaching evaluation.<\/jats:p>","DOI":"10.3233\/jifs-189267","type":"journal-article","created":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T09:14:22Z","timestamp":1600161262000},"page":"8713-8721","source":"Crossref","is-referenced-by-count":25,"title":["Evaluation model of art internal auxiliary teaching quality based on artificial intelligence under the influence of COVID-19"],"prefix":"10.1177","volume":"39","author":[{"given":"Luo","family":"Yuan","sequence":"first","affiliation":[{"name":"Wuhan Institute of Design and Sciences, WuHan, HuBei, China"}]},{"given":"Zhao","family":"Xiaofei","sequence":"additional","affiliation":[{"name":"Nankai University, Tianjin, China"}]},{"given":"Qiu","family":"Yiyu","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Yangtze University, Jingzhou, Hubei, China"},{"name":"Siemens AG, Munich, Germany"}]}],"member":"179","reference":[{"issue":"12","key":"10.3233\/JIFS-189267_ref1","first-page":"36","article-title":"RBF Neural Network Teachers \u2019teaching Quality Evaluation in Vocational Colleges","volume":"2017","author":"Daogen","journal-title":"Journal of Ningbo City Vocational and Technical College"},{"issue":"01","key":"10.3233\/JIFS-189267_ref2","first-page":"62","article-title":"Evaluation Model of Scientific Research Ability of University Teachers Based on Bp Neural Network","volume":"2014","author":"Zhenkun","journal-title":"Digital Technology and Application"},{"issue":"12","key":"10.3233\/JIFS-189267_ref3","first-page":"49","article-title":"Evaluation model of military school classroom teaching quality based on BP neural network","volume":"2017","author":"Duanchao","journal-title":"Continuing Education"},{"issue":"04","key":"10.3233\/JIFS-189267_ref4","first-page":"83","article-title":"Bp Neu-ral Network Model for Teaching Quality Evaluation","volume":"2015","author":"Li","journal-title":"Information Construction"},{"issue":"02","key":"10.3233\/JIFS-189267_ref5","first-page":"82","article-title":"The Application of Rbf Neural Network in the Quality Evaluation System of Teachers in Higher Vocational Colleges","volume":"2017","author":"Hongjun","journal-title":"Science and Education Guide (mid Ten Issue)"},{"issue":"03","key":"10.3233\/JIFS-189267_ref7","first-page":"25","article-title":"Bp Neural Network Model for Teaching Quality Evaluation","volume":"2015","author":"Li","journal-title":"Software"},{"issue":"12","key":"10.3233\/JIFS-189267_ref8","first-page":"188","article-title":"Research on Evaluation of Teaching Quality Based on Bp Neural Network","volume":"2015","author":"Yishi","journal-title":"Journal of Hubei University of Economics: Humanities and Social Sciences"},{"issue":"05","key":"10.3233\/JIFS-189267_ref10","first-page":"129","article-title":"Teaching Evaluation Research Based on Quantum Bp Neural Network","volume":"2014","author":"Yanhui","journal-title":"Information Technology"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-189267","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T11:56:21Z","timestamp":1770119781000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-189267"}},"subtitle":[],"editor":[{"given":"Xiaolong","family":"Li","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2020,12,4]]},"references-count":8,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.3233\/jifs-189267","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12,4]]}}}