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- W2361197078 abstract "Teaching quality evaluation helps realizing teaching scientific management.University teaching quality assessment is a system engineering with multi-level and multi-objective,and the traditional evaluation methods have the defects of trivial calculation and subjectivity.In order to improve the evaluation results of university teaching quality,a university teaching quality evaluation model was proposed based on improved support vector machine by the analysis of many teaching quality evaluation models.Teaching quality evaluation index was quantified as a support vector machine input,and the evaluation result as the output.Using the nonlinear learning ability of support vector machine,the relationship between input and output was approximated,and genetic algorithm was adopted to optimize the evaluation model parameters.Simulation results show that the improved support vector machine can improve the teaching quality evaluation accuracy and overcome the subjective factors of expert system and the generalization ability of neural network.It is suitable for university teaching quality evaluation." @default.
- W2361197078 created "2016-06-24" @default.
- W2361197078 creator A5038064088 @default.
- W2361197078 date "2011-01-01" @default.
- W2361197078 modified "2023-09-23" @default.
- W2361197078 title "Application of University's Teaching Quality Evaluation Based on Support Vector Machine" @default.
- W2361197078 hasPublicationYear "2011" @default.
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