Evaluation method of computer major teaching quality based on improved BP neural network
To improve the accuracy of teaching quality evaluation in computer science,this paper proposes a computer science teaching quality evaluation method based on an improved BP neural network.Firstly,select the factors that affect the evaluation of teaching quality in the computer major.Then,based on this,use the improved BP neural network to analyze and calculate each influencing factor,and determine the final evaluation result of teaching quality.Design evaluation methods in the test results,and ensure that the error between the teaching quality evaluation results and the expert group evaluation results remains stable within 0.15,with a minimum error of only 0.05.The application effect is good.
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