Title :
An evaluation method for college library website based on evolutionary neural network
Author_Institution :
Libr. of Hunan Inst. of Sci. & Technol., Yueyang, China
Abstract :
Library website is the window showing the service of modern college library. It is very important to evaluate the library website and improve its quality. In this study, the evaluation index system of library website is established firstly. Then, an intelligent method to evaluate college library website based on evolutionary neural network is proposed. An evaluation model of evolutionary neural network for college library website is founded. The illustrational results show that we can realize a fast and accurate evaluation for college library website by this method. It gives a beneficial academic reference to promote the construction quality of library website.
Keywords :
Web sites; academic libraries; evolutionary computation; knowledge based systems; library automation; neural nets; college library Website evaluation method; college library service; evaluation index system; evolutionary neural network; intelligent method; library Website construction quality; College Library Website; Evaluation Index System; Evolutionary Neural Network; Integrated Evaluation; Intelligent Method;
Conference_Titel :
Information Science and Control Engineering 2012 (ICISCE 2012), IET International Conference on
Conference_Location :
Shenzhen
Electronic_ISBN :
978-1-84919-641-3
DOI :
10.1049/cp.2012.2383
