Abstract
It is of great significance for optimizing the allocation of book purchasing funds and guaranteeing the quality of books procured improve the utilization efficiency of library resources as well as the quality of literature service. Based on the circulation data in the library at Beijing University of Civil Engineering and Architecture in the past 10 years, this paper studies the allocation of funds and quality control of books purchased using a neural network model. Firstly, a prediction model with the BP neural network is established based on the circulation data of books in the past to provide necessary reference data for the budget of the book purchasing funds. Then, an RBF neural network model is used to predict the allocation of purchasing funds. Finally, a book purchasing quality analysis system is established through the study of the matching degree between the average professional books of students in each discipline and the average professional books of the students and the correlation coefficient between purchasing and borrowing. This paper provides a clear criterion for judging whether book purchases meet the needs of disciplines and readers' requirements. It also provides a scientific basis for the university library to make a reasonable plan on book purchases.
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