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Wang, K.-Q., Yang, S.-C. and Dai, T.-H. (2009) Method of optimizing parameter of least squares support vector machines by genetic algorithm. Computer Applications and Software, 26, 649-652.

has been cited by the following article:

• TITLE: Deformation prediction model of surrounding rock based on GA-LSSVM-markov

  AUTHORS: Duo-Dian Wang, Guo-Qing Qiu, Wen-Bin Xie, Yue Wang

  KEYWORDS: Genetic Algorithm(GA); Least Square Support Vector Machines(LSSVM); Markov; Evaluation; Surrounding Rock; Command Protection Engineering

  JOURNAL NAME: Natural Science, Vol.4 No.2, February 22, 2012

  ABSTRACT: Command protection engineering is the important component of national protection engineering system. To raise the level of its construction, a deformation prediction model is given based on Genetic Algorithm (GA), Least Square Support Vector Machines (LSSVM) and markov theory. Genetic algorithm is used to improve the parameter of LSSVM. Markov predict method is used to improve the precision of the prediction model. Finally, be used to a certain command protection engineering, the accuracy of the algorithm is improved obviously. The model is proved to be credible and precise.