The Model of Evaluating Teaching Quality Based on BP Neural Network Algorithm

Lei Bai; Xiao Xin Guo

doi:10.4028/www.scientific.net/AMM.719-720.1297

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The Model of Evaluating Teaching Quality Based on BP Neural Network Algorithm
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 719-720The Model of Evaluating Teaching Quality Based on...

The Model of Evaluating Teaching Quality Based on BP Neural Network Algorithm

Abstract:

Teaching quality evaluation plays a key role for universities to improve its teaching quality and becomes a hot spot research field for related researchers. In this paper, we established the evaluation model of teaching quality based on BP neural network. Firstly an evaluation index system of teaching quality is designed. Then, according to the system we design the structure of BP neural network, determine the parameters and give the algorithm description. Finally, we program and verify the validity of the model in MATLAB environment. The experimental results show that the model can evaluate teaching quality practically by the evaluation index.

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Periodical:

Applied Mechanics and Materials (Volumes 719-720)

Pages:

1297-1301

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.719-720.1297

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Online since:

January 2015

Authors:

Lei Bai*, Xiao Xin Guo

Keywords:

BP Neural Network (BPNN), Model, Teaching Quality Evaluation

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* - Corresponding Author

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