基于BP神经网络的图书馆电子资源质量评价研究

Research on Quality Evaluation of Library Electronic Resources Based on BP Neural Network

建立基于用户满意度的图书馆电子资源质量评价指标体系,并利用BP网络构建模型实现图书馆电子资源质量评价。结果表明,基于BP神经网络的图书馆电子资源质量评价模型是一个合理的、可行的、精度较高的预测模型,基于人工神经网络的电子资源评价方法是一种很好的评价方法。

This paper establishes the quality evaluation index system of library electronic resources based on user satisfaction index and uses BP neural network construction model to achieve quality evaluation of library electronic resources. The results show that the quality evaluation model of library electronic resources based on BP neural network is a reasonable, viable, high precision prediction model, and electronic resources evaluation method based on artificial neural network is a good method.