The Application Research on Evaluation of Quality of Teaching Based on Artificial Neural Network
Ouyang Linqun · Journal of Nanping Teachers College · 2006
An evaluation of quality of teaching model is founded on neural network in the paper. Will need to evaluate index sign amount of concept become the certain data is used as its importation, the teaching effect conduct and actions outputs, Based on BFGS training the nerve network and after simulation computation proof, this model has well recognizes the precision. Finally obtains digitized the appraisal result, can be accurate, irect-viewing reflect the teaching quality the fit and unfit uality, proves the analog modeling through the experiment the feasibility.