Construction of Teaching Quality Evaluating Model in Higher Vocational Colleges-Based on the Neural Network
Qiao Wei-de · Journal of Guangzhou City Polytechnic · 2011
In view of the construction features,self-adaptation and self-learning functions of neural network,this article puts forward a teaching quality evaluating model in higher vocational colleges which is based on the BP neural network algorithm.A systematic math model is specified,in which all kinds of evaluating indexes are viewed as the input information while the teaching effect is viewed as the output information.This model is workable and adaptable when speed restraining and network adaptability are concerned.Results of experiments show that this math model overcomes the complexity and disturbing elements of human beings which are normally found in the traditional analyzing and evaluating process towards teaching.Convenience,exactness,reliability,speediness are also features of this new model.