Year: 2016
International Journal of Numerical Analysis and Modeling, Vol. 13 (2016), Iss. 4 : pp. 648–655
Abstract
In order to effectively use books and reasonably distribute purchasing funds, the Support Vector Machines (SVM) method is used in this paper to establish a mathematics model for the related historical data of the library at Beijing University of Civil Engineering and Architecture. The book circulation and the allocation proportion of purchasing funds in the future are predicted based on the model. It is shown that the SVM method is feasible in predicting the book circulation and allocation proportion of purchasing funds with high non-linearity even if the size of a sample is small.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2016-IJNAM-457
International Journal of Numerical Analysis and Modeling, Vol. 13 (2016), Iss. 4 : pp. 648–655
Published online: 2016-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 8
Keywords: Support Vector Machines book circulation purchasing fund algorithm prediction.