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The Evaluation Model of Teaching Quality of Modern and Contemporary Literature in Chinese Higher Education Based on Support Vector Regression Algorithm (SVRA)

机译：基于支持向量回归算法的中国高等教育现代和当代文学教学质量评价模型（SVRA）

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摘要

This paper presents a model to evaluate the teaching quality of modern and contemporary literature by using support vector regression, and discusses the weight distribution of each independent variable in the evaluation of teaching quality of modern and contemporary literature in Chinese higher education, and uses the support vector regression algorithm (SVRA) to determine the evaluation weight of the teaching quality of Hangong Opera. It verifies by using the case of inheritance of Anhui Hangong Opera culture in Chinese higher education. The research results show that the method of the evaluation of teaching quality of modern and contemporary literature based on support vector regression algorithm (SVRA) can effectively analyze the teaching quality test data in Chinese higher education.

机译：本文提出了一种通过使用支持向量回归来评估现代和当代文学的教学质量的模型，并讨论了中国高等教育现代和当代文学教学质量评估中的每个独立变量的重量分布，并利用了支持传染媒介回归算法（SVRA）确定杭歌剧教学质量的评价重量。它通过利用中国高等教育中安徽洋洋文化的继承的案例。研究结果表明，基于支持向量回归算法（SVRA）的现代和当代文学教学质量评估方法可以有效地分析中国高等教育教学质量试验数据。

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《International Conference on Robots Intelligent System》|2018年|1 v.|共4页
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作者
Zhibin Wang;
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正文语种
中图分类计算技术、计算机技术;
关键词
Conferences; Robots; Intelligent systems;

机译：会议;机器人;智能系统;

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The Evaluation Model of Teaching Quality of Modern and Contemporary Literature in Chinese Higher Education Based on Support Vector Regression Algorithm (SVRA)

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