Open Access
MATEC Web Conf.
Volume 67, 2016
International Symposium on Materials Application and Engineering (SMAE 2016)
Article Number 07001
Number of page(s) 5
Section Chapter 7 Materials Application and Engineering
Published online 29 July 2016
  1. Asaoka A, Observational procedure of settlement prediction. Soils & Foundations, 1978, 18(4): 87–101. [CrossRef]
  2. Qian YL, Ding Y, Forecasting settlement of roadbed and its engineering application. Journal of Yangzhou University (Natural Science Edition), 2001, 4(2): 75–78.
  3. Chen XD, Xia J. Xu Q, Differential hydrological grey model (DHGM) with self-memory function and its application to flood forecasting. Science China Technological Sciences, 2009, 39 (2), 341–350
  4. Cortes C., Vapnik V., Support vector network. Mach. Learn, 1995, 20, 273–297.
  5. Cherkassky V., Mulier F., Learning from Data: Concepts, Theory and Methods. Wiley, New York, 1998.
  6. Dibike YB, Velikov S, Solomatine D, Abbott MB, Model induction with support vector machines: introduction and applications. J Comput Civ Eng ASCE, 2001, 15(3):208–16. [CrossRef]
  7. Cristianini N, Shaw-Taylor J. An introduction to support vector machines and other kernel-based learning methods. Cambridge: Cambridge University Press, 2000. [CrossRef]
  8. Samui P. Support vector machine applied to settlement of shallow foundations on cohesionless soils. Comput Geotech, 2008, 35:419–27. [CrossRef]