BP神经网络在教学质量评价中的应用观察

Observation on Application of BP Neural Network in Teaching Quality Evaluation

人工神经网络是一种新技术,具有非线性处理、适应学习能力强等优势,BP神经网络是人工神经网络中的一种,具有极强的非线性处理能力.本文就人工神经网络和BP神经网络的相关概念进行分析,研究基于BP神经网络的教学质量评价体系,并对BP神经网络在教学质量评价中的应用进行探讨,以便建立完善的质量评价体系,促进教学质量的提高,推动高职院校的发展.

With the continuous development of science and technology, a new type of teaching quality evaluation system has being generated gradually. Artificial neural network is a new technology, which has such advantages as nonlinear processing and adaptive learning capability. While BP neural network is such a kind of artificial neural network, it has strong ability of nonlinear processing. The related concepts of artificial neural network and BP neural network were analyzed in this paper. With the researching on teaching quality evaluation system based on BP neural network, it discussed the application of BP neural network in teaching quality evaluation. Thus could be helpful to establish perfect quality evaluation system and promote the development of higher vocational colleges.