{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T14:51:29Z","timestamp":1774191089883,"version":"3.50.1"},"reference-count":23,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,8,15]],"date-time":"2021-08-15T00:00:00Z","timestamp":1628985600000},"content-version":"vor","delay-in-days":226,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["17dz2301000"],"award-info":[{"award-number":["17dz2301000"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005891","name":"State Administration of Traditional Chinese Medicine of the People's Republic of China","doi-asserted-by":"publisher","award":["GY-15"],"award-info":[{"award-number":["GY-15"]}],"id":[{"id":"10.13039\/501100005891","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Wireless Communications and Mobile Computing"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>There is currently no fair, rational, or scientific approach for evaluating college teachers\u2019 teaching abilities. Mathematical methods are frequently used to measure the teaching capacity of college instructors in order to make it more scientific. Traditional statistical analysis evaluation models, fuzzy evaluation methods, grey decision methods, and the analytic hierarchy process (AHP) are only a few examples. Because teacher assessment is a nonlinear problem, even though the preceding methods have produced some positive results, they are vulnerable to some subjectivity. In this paper, the neural network model is incorporated into the adaptive vector and momentum of the modified BP neural network of a gradient descent method to boost the model\u2019s convergence speed, and the model is thoroughly researched to evaluate university teaching quality, and the network structure is omitted to address the complex nonlinear problem of college and university teaching quality assessment. The model\u2019s comprehensive evaluation of teaching activities is then bolstered by the addition of new evaluation indexes to the existing ones.<\/jats:p>","DOI":"10.1155\/2021\/4936873","type":"journal-article","created":{"date-parts":[[2021,8,16]],"date-time":"2021-08-16T05:28:25Z","timestamp":1629091705000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["An Adaptive BP Neural Network Model for Teaching Quality Evaluation in Colleges and 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