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In the process of processing the audience evaluation data, there are problems such as large calculation dimensions and low data relevance. Based on this, this article studies the audience evaluation model of teaching quality based on the multilayer perceptron genetic neural network algorithm for the data processing link in the evaluation of the symphony performance effect. Multilayer perceptrons are combined to collect data on the audience\u2019s evaluation information; genetic neural network algorithm is used for comprehensive analysis to realize multivariate analysis and objective evaluation of all vocal data of the symphony performance process and effects according to different characteristics and expressions of the audience evaluation. Changes are analyzed and evaluated accurately. The experimental results show that the performance evaluation model of symphony performance based on the multilayer perceptron genetic neural network algorithm can be quantitatively evaluated in real time and is at least higher in accuracy than the results obtained by the mainstream evaluation method of data postprocessing with optimized iterative algorithms as the core 23.1%, its scope of application is also wider, and it has important practical significance in real\u2010time quantitative evaluation of the effect of symphony performance.<\/jats:p>","DOI":"10.1155\/2021\/4133892","type":"journal-article","created":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T23:27:28Z","timestamp":1633908448000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["[Retracted] Audience Evaluation and Analysis of Symphony Performance Effects Based on the Genetic Neural Network Algorithm for the Multilayer Perceptron (GA\u2010MLP\u2010NN)"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3301-4535","authenticated-orcid":false,"given":"Cong","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,10,8]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.3390\/en12224352"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2018.5693"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2019.04.013"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1177\/0305735607068891"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1177\/0269215518785000"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.36548\/jaicn.2021.1.004"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1089\/big.2019.0093"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1121\/10.0000739"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/mmul.2017.19"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13735-018-0154-2"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2018.2874959"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.3390\/app9132645"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.3390\/app9040703"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10772-020-09781-0"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2016.12.024"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8020164"},{"key":"e_1_2_9_17_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0249957"},{"key":"e_1_2_9_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.08.021"},{"key":"e_1_2_9_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2019.2924177"},{"key":"e_1_2_9_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3281746"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2777415"},{"key":"e_1_2_9_22_2","doi-asserted-by":"publisher","DOI":"10.3390\/app11125385"},{"key":"e_1_2_9_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.01.004"},{"key":"e_1_2_9_24_2","doi-asserted-by":"crossref","unstructured":"DengW. 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