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Research on the Funds Forecasting and Quality Control of Book Purchasing

机译：图书采购资金预测与质量控制研究

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摘要

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.
机译：对于优化购书资金分配，保证购书质量，提高图书馆资源的利用效率和文献服务质量，具有十分重要的意义。基于近十年来北京建筑工程大学图书馆的流通数据，本文研究了使用神经网络模型对资金的分配和所购书籍的质量控制。首先，基于图书的流通数据，建立了基于BP神经网络的预测模型，为图书购置资金的预算提供必要的参考数据。然后，使用RBF神经网络模型来预测购买资金的分配。最后，通过研究各学科学生平均专业书籍与学生平均专业书籍之间的匹配程度以及购买与借入之间的相关系数，建立图书购买质量分析系统。本文为判断图书购买是否满足学科需求和读者需求提供了明确的标准。这也为高校图书馆制定合理的购书计划提供了科学依据。

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