Research on the Application of the BP Neural Network
Yu Kevin Cao · Applied Mechanics and Materials · 2014
The paper constructs an evaluation model for practical teaching quality based on Back Propagation (BP) neural network. It makes the indicators of evaluating practical teaching quality as input data, while practical teaching quality as output results. The empirical conclusion obtained from the use of Excel is that BP neural network is suitable for practical teaching quality evaluation and also makes a better analogy to the experts’ evaluation process. The results are satisfactory with wide application.