Research on the role of learning, memory and adaptive abilities in the process of building library evaluation model

摘要

With the development of information technology, library website has become the window of the modern university library to show yourself, the traditional library service quality evaluation standard and evaluation method has been difficult to meet their needs, and the aim of library service has changed to "reader first and service first". To improve the construction quality of modern university library, it is necessary to establish a scientific, reasonable and perfect evaluation model, so as to y improve the quality of its service effectively. As a kind of advanced technology, BP neural network model applied to the evaluation of university library in the process of building model, which can realize rapid and accurate evaluation of the university library website from the aspects of learning, memory and adaptive, it also can improve the quality of library website construction. This article mainly expounds the necessity of library service quality evaluation, and proposed the ways and methods of the library evaluation model based on the user.