Jimin Gu and  Ruolin Shi. English Teaching Quality Evaluation Based on Fuzzy Comprehensive Evaluation of Neural Network Algorithm. Dynamic Systems and Applications 29 (2020) No. 5, 2124 – 2131

https://doi.org/10.46719/dsa202029547

ABSTRACT.
The purpose of appraisal differs across the higher education sector; it is either used as a management tool for target and objective setting or a self-evaluation tool for the individual.To improve the accuracy of the appraisal to propel the teaching dependent on quality, assessment, the quality evaluation document structure.To fabricate a decision tree model of English preparing quality record model, English training quality appraisal of the actual work relies upon the cushioned decision model turn of events, the conjugated decision limit work procedure is used to propel the extraction reflect the quality properties of English educating. Then the careful assessment of the idea of training in English the character can be cultivated. Reenactment results show that English preparing quality appraisal methodology is reliable, it has high legitimacy, and the evaluation results are definite.As explained by the logical model to assess the idea of teaching, its limits are improved by the Neural Network Algorithm was presented method. Exploratory results show that the strategy proposed could all the more promptly improve the training quality examination mean square screw up and the critical accuracy by making minimal regard target certified yield regard. At the same time, the strategy has been extensively used in our school, demonstrating quality evaluation.

Keyword: English Teaching, Fuzzy Comprehensive Evaluation, Neural Network Algorithm, English Quality