摘要
在建立符合图书馆网站特点的评价指标体系的基础上,探索一种运用BP神经网络对图书馆网站进行评价的方法。概述BP神经网络及其基本原理,并详述基于BP神经网络的图书馆网站评价模型的建立过程,包括神经网络结构的确定、网络学习,以及网络检验等。将该模型应用于实例检验,得到较满意的结果。
Establishes the evaluation index system which accords with the characteristics of library Web- site. On the ground of this index system, explores an integrated evaluation method based on back propagation neural network. Introduces the BP neural network and its basic principles, and then expounds the establishing processes of evaluation model, including determining the structure of neural network, network training, and network verification. Applies the model to test sample, and obtains a satisfactory effect.
出处
《现代计算机》
2012年第16期31-34,41,共5页
Modern Computer
关键词
图书馆网站
BP神经网络
综合评价
Library Website
Back Propagation Neural Network
Integrated Evaluation
