Abstract
The solution to performances of queuing system is based on knowing the distributions of customers arrival or service time. Support vector machine (SVM) based on statistical learning theory has been used generally in machine learning because of its good generalization ability. By using SVM we can classify and identity some probability distributions appeared in queuing system and solve the density function regression problem through using support vector regression (SVR). Some other problems needed to be solved are formulated in the end.
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Hu, G., Deng, F. (2004). Application of Support Vector Machine in Queuing System. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks – ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28647-9_94
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DOI: https://doi.org/10.1007/978-3-540-28647-9_94
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