Analysis the height of water conducted zone of coal seam roof based on GA-SVR
SUN Yun-pu
WANG Yun-fei
ZHENG Xiao-juan
Abstract：Taken advantage of the characteristics of genetic algorithm searching and optimizing the optimal individuals in groups by means of the overall parallel investigation, the best individuals of support vector machine parameters were obtained, the GA-SVR(Genetic Algorithm-Support Vector Regression)model Was established, which effectively reflected the nonlinear relationship between worked-out section length, compressive strength, mining thickness and other factors and the height of water conducted zone of coal seam roof. Verified the effectiveness of GA-SVR studying on the height of water conducted zone of coal seam roof through the actual engineering application. In addition, analysed the weights of factors influencing the height of water conducted zone of seam roof, indicated embedded depth, worked-out section length, compressive strength and mining thickness are the principal influencing factors, and pointed out that it is scientific to select the factors from the three aspects of geological con-dition, rock mechanical properties and mining condition.
Keywords：genetic algorithmsupport vector machinecoal seam roofwater conducted zone
Publication Date：2009-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1610-1615 )