@Article{IJNAM-13-648,
author = {Shilian Cai},
title = {The SVM-Based Prediction of Periodical Circulation and Procurement Costs in a University Library},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2016},
volume = {13},
number = {4},
pages = {648--655},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {2617-8710},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/ijnam/457.html}
}