基于神经网络的高校学生信用模糊评价研究

A Model for University Student Credit Fuzzy Evaluation Based on Neural Network

本文为更有效地对高校学生信用进行综合评价,建立了高校学生信用评价多级指标体系,提出了一种基于神经网络的评价模型。模型将模糊理论引入神经网络,通过神经网络的学习训练来调整模糊数学中的相应参数,以有效地模拟模糊综合评价的过程,对信用评价的定性过程而言,具有一定的合理性。

In this paper an evaluation mode with multilayer and multi-index is presented to ger the result of university student credit effectively. The mode integrates fuzzy mathematics into network. And the neural network is trained to modify the parameter of fuzzy mathematis. So the neural network can reflect the fuzzy comprehensiye evaluation. The model effectively makes use of the neural network to evaluate university student credit and simplifies the evaluating process.