Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10352889 | Computers & Geosciences | 2005 | 5 Pages |
Abstract
Measured fault/slip data are commonly heterogeneous in nature. A critical issue of stress inversion is how to separate them into homogeneous subsets. In the parameter space, data vectors in each subset tend to distribute toward a hyperplane, whose solution of stress vector we solve for. The separation procedure therefore becomes recognition of linear structures of the entire data set. In this paper, a MS-Fortran code is presented for stress estimation using the fuzzy C-lines analysis technique. It is automatic in looking for the optimal stress estimates that have the largest partition coefficients within a specified range of division number. It is finally applied to one example of the feasibility of the inversion method.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Zian Li, Yehua Shan, Shikui Li,