When underground or surface excavations are made in rock masses

the behavior of the surrounding rock material will be greatly influenced by the presence of discontinuities. Various modes of rock slope and wedge failure can be attributed to the existence of fractures in a rock mass. In order to make rock mass structure plane group reasonably

and simulate the distribution of rock mass structural plane network by computer

this paper proposes a fusion of clustering method with improved genetic algorithm and support vector machine. First of all

according to the rock mass structural plane orientation information to establish the mathematical model of structural plane grouping

the global optimal clustering center of structural plane is obtained by using the improved genetic algorithm. Then the structural plane is grouped completely with support vector machine. The application of practical engineering shows that the genetic-support vector machine clustering algorithm for grouping of the rock mass structure plane is reasonable and reliable.