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.
Highlights
Surrounding rock deformation is a complex nonlinear process [1]
Surrounding rock deformation monitoring, as basic information of evaluation and reflect of the surrounding rock change, its production, development and change can be regarded as time series
In the field of surrounding rock deformation prediction, in order to objectively reflect the rules between time and change, mathematics method or mathematical model is often need, used to prediction analysis
Summary
Surrounding rock deformation is a complex nonlinear process [1]. In the field of surrounding rock deformation prediction, in order to objectively reflect the rules between time and change, mathematics method or mathematical model is often need, used to prediction analysis. A lot of research is given, common method are as follows, Lagrange interpolation method, exponential smoothing, the spline interpolation method, regression model method, time series analysis, gray system theory, the artificial neural network method, the response surface treatment technology and chaos phase space reconstruction processing technology, etc. Some research is given on the surrounding rock deformation prediction with support vector machine (SVM) [12,13]. The method is used to give research on surrounding rock deformation prediction of command protection engineering
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
