The SFA-LSSVM as a Decision Support System for Mitigating Liquefaction Disasters
A. Kazem, E. Sharifi, F. K. Hussain, M. Saberi, and O. K. Hussain, "Support vector regression with chaos-based firefly algorithm for stock market price forecasting," Applied Soft Computing, vol. 13, pp. 947-958, 2// 2013.
C. Cortes and V. Vapnik, "Support-vector networks," Machine learning, vol. 20, pp. 273-297, 1995.
J. A. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor, and J. Vandewalle, Least squares support vector machines vol. 4: World Scientific, 2002.
J. A. K. Suykens, "Nonlinear modelling and support vector machines," in Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE, 2001, pp. 287-294 vol.1.
X.-S. Yang, "Firefly algorithms for multimodal optimization," in Stochastic algorithms: foundations and applications, ed: Springer, 2009, pp. 169-178.
A. T. C. Goh and S. H. Goh, "Support vector machines: Their use in geotechnical engineering as illustrated using seismic liquefaction data," Computers and Geotechnics, vol. 34, pp. 410-421, 9// 2007.
A. Baykasoğlu, A. Çevik, L. Özbakır, and S. Kulluk, "Generating prediction rules for liquefaction through data mining," Expert Systems with Applications, vol. 36, pp. 12491-12499, 12// 2009.
- There are currently no refbacks.
View my Stat: Click Here
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.