College Teaching Quality Evaluation Model Based on BP Neural Network
Xiao Hong Zhu · Advanced materials research · 2012
The college teaching quality evaluation is a multi-factor, multi-variable fuzzy nonlinear process. This paper applied BP neural network to setup a teaching quality evaluation model according to the expert group standards, and trained the neural network model through MATLAB7.0 for learning complex knowledge and simulating capabilities. The data test validation shows that the evaluation result agreed to the actual teaching effectiveness, and has a wide range of applications in various types of teaching management.