Journal of Computer Sciences and Applications
ISSN (Print): 2328-7268 ISSN (Online): 2328-725X Website: http://www.sciepub.com/journal/jcsa Editor-in-chief: Minhua Ma, Patricia Goncalves
Open Access
Journal Browser
Go
Journal of Computer Sciences and Applications. 2018, 6(1), 23-31
DOI: 10.12691/jcsa-6-1-3
Open AccessSpecial Issue

Research on the Funds Forecasting and Quality Control of Book Purchasing

Shilian Cai1,

1The University Library, Beijing University of Civil Engineering and Architecture, Beijing 102616, P. R. China

Pub. Date: June 04, 2018
(This article belongs to the Special Issue Information Technology and Computational Intelligence)

Cite this paper:
Shilian Cai. Research on the Funds Forecasting and Quality Control of Book Purchasing. Journal of Computer Sciences and Applications. 2018; 6(1):23-31. doi: 10.12691/jcsa-6-1-3

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.

Keywords:
books circulation purchase funds neural network purchase quality

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Figures

Figure of 4

References:

[1]  Xu Ying. The prediction of the volume and circulation of the Chinese Library [J], journal of intelligence, 1999, 18(6): 53-56.
 
[2]  Lu Xiaobin. Information analysis [M]. Beijing: science and Technology Literature Press, 2007.
 
[3]  Sun Bao, Zhao Yanmei, Wang Zili, Li Jianhui. Research on Procurement quantity Modeling based on Borrowing Statistics [J]. Information science, 2011 / 29: 103-107.
 
[4]  Tan Wenhua. Grey Prediction of Book flow in University University Library [J]. Modern Intelligence: 10: 119-120.
 
[5]  Cao Zhen. The configuration of the Chinese copy of the University Library [J]. Journal of the university library 3: 53-56
 
[6]  Wang Juping. A preliminary study on quantitative Analysis and Prediction methods in Library Science and Information Science [J]. Journal of Intelligence 2007 / 1: 105-106.
 
[7]  Liu Xinwen. Quantitative analysis of the quantity of duplicated books in library [J]. Journal of Southwest China Normal University, 2007(4): 87-89.
 
[8]  Wang Jian. Multiple regression analysis method to predict the average duplicate quantity [J]. Journal of Ningxia Teachers College (social science), 2010: 5: 167-168.
 
[9]  Wang Tingman, Shen Si. Using Grey system Theory to predict the expense of Books and Literature [J]. Journal of Xi'an Institute of Science and Technology, 2002, 22(9): 367-370.
 
[10]  Shi Yanfen. Application of explanatory structure Model in quality Analysis and Control of Book Purchasing [J]. Library work and Study, 2012, 56 (5): 94-97.
 
[11]  Zhu Chunhui. Distribution of Book Utilization and its influence on Collection Construction[J]. Library Development, 2011(3): 56-64.
 
[12]  Wang Fang. An Analytical Model of specialized Books quality in Colleges and Universities and its Application [J]. The Library Journal of Henan, 2007, 27 (1): 10-13.
 
[13]  Zhang Xuelian, Li Liyan. BP Neural Network Forecasting Model of Book and Literature funding [J]. Journal of Intelligence, 2006 (6): 115-116.
 
[14]  Bai Xuebing. Research on Economic Prediction Model based on BP and RBF Neural Network [J]. Computer knowledge and Technology, 2011, 7(10): 2345-2347.
 
[15]  Zhu Kai, Wang Zhenglin. Proficient in MATLAB neural network [M]. Beijing: Publishing House of Electronics Industry, 2010.