基于人工神经网络的教学质量评估体系研究

摘要

This paper puts forward the quantitative evaluation of neurons three layer methods, with the ANN theory applied in teaching quality evaluation. Through the study of known samples and the construction of neural network, the network can have more expert experience and knowledge, which can reduce the influence of the artifi-cial factor on the evaluation, and fundamentally overcome the shortcomings during the process. At the same time, it improves the accuracy and efficiency in the pattern classification, providing a meaningful way for teaching quali-ty evaluation system research.%把人工神经网络理论应用于教学质量评估，本文提出了三层神经网络的评价方法，通过对已知样本的学习以及对神经网络的构建，使网络更可以具有专家经验和知识，同时也减少在评价过程中人为因素的影响，弥补了教学质量评价过程中的不足，提高了模式分类的准确性和高效性，较好地保证评价结果的客观性，为教学质量评估体系的研究提供了较有效的方法。